Articles | Volume 11, issue 5
https://doi.org/10.5194/amt-11-3131-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3131-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 May 2018
Research article |
| 31 May 2018
| 31 May 2018
Effects of temporal averaging on short-term irradiance variability under mixed sky conditions
Energy Meteorology Group, Institute of Physics, Oldenburg University, Oldenburg, Germany
Adam H. Monahan
School of Earth and Ocean Sciences, University of Victoria, Victoria, Canada
Related authors
Astrid Lampert, Falk Pätzold, Maria Antonia Jiménez, Lennart Lobitz, Sabrina Martin, Gerald Lohmann, Guylaine Canut, Dominique Legain, Jens Bange, Dani Martínez-Villagrasa, and Joan Cuxart
Atmos. Chem. Phys., 16, 8009–8021, https://doi.org/10.5194/acp-16-8009-2016, https://doi.org/10.5194/acp-16-8009-2016, 2016
Short summary
Short summary
For a large field experiment in summer 2011 in southern France (BLLAST campaign), the development of turbulence in the atmosphere was analysed during the afternoon and evening. Besides ground-based remote sensing and in situ observations, turbulence parameters were measured with an unmanned aerial vehicle and analysed by numerical simulation. Turbulence decreased during the afternoon, but increased after sunset due to local wind systems. Turbulent eddies lost symmetry during the transition.
Gerald M. Lohmann, Adam H. Monahan, and Detlev Heinemann
Atmos. Chem. Phys., 16, 6365–6379, https://doi.org/10.5194/acp-16-6365-2016, https://doi.org/10.5194/acp-16-6365-2016, 2016
Short summary
Short summary
Increasing numbers of photovoltaic (PV) power systems call for the characterization of irradiance variability with very high spatiotemporal resolution. We use 1 Hz irradiance data recorded by as many as 99 pyranometers and show mixed sky conditions to differ substantially from clear and overcast skies. For example, the probabilities of strong fluctuations and their respective spatial autocorrelation structures are appreciably distinct under mixed conditions.
Ruth A. R. Digby, Nathan P. Gillett, Adam H. Monahan, Knut von Salzen, Antonis Gkikas, Qianqian Song, and Zhibo Zhang
Atmos. Chem. Phys., 24, 2077–2097, https://doi.org/10.5194/acp-24-2077-2024, https://doi.org/10.5194/acp-24-2077-2024, 2024
Short summary
Short summary
The COVID-19 lockdowns reduced aerosol emissions. We ask whether these reductions affected regional aerosol optical depth (AOD) and compare the observed changes to predictions from Earth system models. Only India has an observed AOD reduction outside of typical variability. Models overestimate the response in some regions, but when key biases have been addressed, the agreement is improved. Our results suggest that current models can realistically predict the effects of future emission changes.
Carsten Abraham, Amber M. Holdsworth, and Adam H. Monahan
Nonlin. Processes Geophys., 26, 401–427, https://doi.org/10.5194/npg-26-401-2019, https://doi.org/10.5194/npg-26-401-2019, 2019
Short summary
Short summary
Atmospheric stably stratified boundary layers display transitions between regimes of sustained and intermittent turbulence. These transitions are not well represented in numerical weather prediction and climate models. A prototype explicitly stochastic turbulence parameterization simulating regime dynamics is presented and tested in an idealized model. Results demonstrate that the approach can improve the regime representation in models.
Fei Lu, Nils Weitzel, and Adam H. Monahan
Nonlin. Processes Geophys., 26, 227–250, https://doi.org/10.5194/npg-26-227-2019, https://doi.org/10.5194/npg-26-227-2019, 2019
Short summary
Short summary
ll-posedness of the inverse problem and sparse noisy data are two major challenges in the modeling of high-dimensional spatiotemporal processes. We present a Bayesian inference method with a strongly regularized posterior to overcome these challenges, enabling joint state-parameter estimation and quantifying uncertainty in the estimation. We demonstrate the method on a physically motivated nonlinear stochastic partial differential equation arising from paleoclimate construction.
Hakase Hayashida, James R. Christian, Amber M. Holdsworth, Xianmin Hu, Adam H. Monahan, Eric Mortenson, Paul G. Myers, Olivier G. J. Riche, Tessa Sou, and Nadja S. Steiner
Geosci. Model Dev., 12, 1965–1990, https://doi.org/10.5194/gmd-12-1965-2019, https://doi.org/10.5194/gmd-12-1965-2019, 2019
Short summary
Short summary
Ice algae, the primary producer in sea ice, play a fundamental role in shaping marine ecosystems and biogeochemical cycling of key elements in polar regions. In this study, we developed a process-based numerical model component representing sea-ice biogeochemistry for a sea ice–ocean coupled general circulation model. The model developed can be used to simulate the projected changes in sea-ice ecosystems and biogeochemistry in response to on-going rapid decline of the Arctic.
Adam H. Monahan
Nonlin. Processes Geophys., 25, 335–353, https://doi.org/10.5194/npg-25-335-2018, https://doi.org/10.5194/npg-25-335-2018, 2018
Short summary
Short summary
Bivariate probability density functions (pdfs) of wind speed characterize the relationship between speeds at two different locations or times. This study develops such pdfs of wind speed from distributions of the components, following a well-established approach for univariate distributions. The ability of these models to characterize example observed datasets is assessed. The mathematical complexity of these models suggests further extensions of this line of reasoning may not be practical.
Hakase Hayashida, Nadja Steiner, Adam Monahan, Virginie Galindo, Martine Lizotte, and Maurice Levasseur
Biogeosciences, 14, 3129–3155, https://doi.org/10.5194/bg-14-3129-2017, https://doi.org/10.5194/bg-14-3129-2017, 2017
Short summary
Short summary
In remote regions, cloud conditions may be strongly influenced by oceanic source of dimethylsulfide (DMS) produced by plankton and bacteria. In the Arctic, sea ice provides an additional source of these aerosols. The results of this study highlight the importance of taking into account both the sea-ice sulfur cycle and ecosystem in the flux estimates of oceanic DMS near the ice margins and identify key uncertainties in processes and rates that would be better constrained by new observations.
Jan-Erik Tesdal, James R. Christian, Adam H. Monahan, and Knut von Salzen
Atmos. Chem. Phys., 16, 10847–10864, https://doi.org/10.5194/acp-16-10847-2016, https://doi.org/10.5194/acp-16-10847-2016, 2016
Short summary
Short summary
A global atmosphere model with explicit representation of aerosol processes is used to assess uncertainties in the climate impact of ocean DMS efflux and the role of spatial and temporal variability of the DMS flux in the effect on climate. The radiative effect of sulfate is nearly linearly related to global total DMS flux. Removing the spatial or temporal variability of DMS flux changes the global radiation budget, but the effect is of second-order importance relative to the global mean flux.
Astrid Lampert, Falk Pätzold, Maria Antonia Jiménez, Lennart Lobitz, Sabrina Martin, Gerald Lohmann, Guylaine Canut, Dominique Legain, Jens Bange, Dani Martínez-Villagrasa, and Joan Cuxart
Atmos. Chem. Phys., 16, 8009–8021, https://doi.org/10.5194/acp-16-8009-2016, https://doi.org/10.5194/acp-16-8009-2016, 2016
Short summary
Short summary
For a large field experiment in summer 2011 in southern France (BLLAST campaign), the development of turbulence in the atmosphere was analysed during the afternoon and evening. Besides ground-based remote sensing and in situ observations, turbulence parameters were measured with an unmanned aerial vehicle and analysed by numerical simulation. Turbulence decreased during the afternoon, but increased after sunset due to local wind systems. Turbulent eddies lost symmetry during the transition.
Gerald M. Lohmann, Adam H. Monahan, and Detlev Heinemann
Atmos. Chem. Phys., 16, 6365–6379, https://doi.org/10.5194/acp-16-6365-2016, https://doi.org/10.5194/acp-16-6365-2016, 2016
Short summary
Short summary
Increasing numbers of photovoltaic (PV) power systems call for the characterization of irradiance variability with very high spatiotemporal resolution. We use 1 Hz irradiance data recorded by as many as 99 pyranometers and show mixed sky conditions to differ substantially from clear and overcast skies. For example, the probabilities of strong fluctuations and their respective spatial autocorrelation structures are appreciably distinct under mixed conditions.
Related subject area
Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: In Situ Measurement | Topic: Validation and Intercomparisons
Impacts of anemometer changes, site relocations and processing methods on wind speed trends in China
Validation of Aeolus L2B products over the tropical Atlantic using radiosondes
Estimating the turbulent kinetic energy dissipation rate from one-dimensional velocity measurements in time
Evaluation of in situ observations on Marine Weather Observer during Typhoon Sinlaku
Validation of the WRF-ARW eclipse model with measurements from the 2019 and 2020 total solar eclipses
How observations from automatic hail sensors in Switzerland shed light on local hailfall duration and compare with hailpad measurements
A data-driven persistence test for robust (probabilistic) quality control of measured environmental time series: constant value episodes
A comparative evaluation of snowflake particle shape estimation techniques used by the Precipitation Imaging Package (PIP), Multi-Angle Snowflake Camera (MASC), and Two-Dimensional Video Disdrometer (2DVD)
Comparison of GRUAN data products for Meisei iMS-100 and Vaisala RS92 radiosondes at Tateno, Japan
Validation of the Aeolus Level-2B wind product over Northern Canada and the Arctic
Boundary-layer height and surface stability at Hyytiälä, Finland, in ERA5 and observations
Characterizing and correcting the warm bias observed in Aircraft Meteorological Data Relay (AMDAR) temperature observations
Something fishy going on? Evaluating the Poisson hypothesis for rainfall estimation using intervalometers: results from an experiment in Tanzania
Suitability of fibre-optic distributed temperature sensing for revealing mixing processes and higher-order moments at the forest–air interface
Validation of Aeolus winds using radiosonde observations and numerical weather prediction model equivalents
Smartphone pressure data: quality control and impact on atmospheric analysis
Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement
More science with less: evaluation of a 3D-printed weather station
Characteristics and performance of wind profiles as observed by the radar wind profiler network of China
Confronting the boundary layer data gap: evaluating new and existing methodologies of probing the lower atmosphere
On the estimation of vertical air velocity and detection of atmospheric turbulence from the ascent rate of balloon soundings
Comparison of turbulence measurements by a CSAT3B sonic anemometer and a high-resolution bistatic Doppler lidar
Using computational fluid dynamics and field experiments to improve vehicle-based wind measurements for environmental monitoring
Comparison of the GRUAN data products for Meisei RS-11G and Vaisala RS92-SGP radiosondes at Tateno (36.06° N, 140.13° E), Japan
A method to assess the accuracy of sonic anemometer measurements
Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation
Evaluation of OAFlux datasets based on in situ air–sea flux tower observations over Yongxing Island in 2016
Characteristics of vertical velocities estimated from drop size and fall velocity spectra of a Parsivel disdrometer
Comparison of Lyman-alpha and LI-COR infrared hygrometers for airborne measurement of turbulent fluctuations of water vapour
Hotplate precipitation gauge calibrations and field measurements
Field intercomparison of prevailing sonic anemometers
A new method for estimating UV fluxes at ground level in cloud-free conditions
Precipitable water characteristics during the 2013 Colorado flood using ground-based GPS measurements
Comparison of Vaisala radiosondes RS41 and RS92 launched over the oceans from the Arctic to the tropics
Comparison of hourly surface downwelling solar radiation estimated from MSG–SEVIRI and forecast by the RAMS model with pyranometers over Italy
Quantitative analysis of the radiation error for aerial coiled-fiber-optic distributed temperature sensing deployments using reinforcing fabric as support structure
An automated method for the evaluation of the pointing accuracy of Sun-tracking devices
Assessment of snowfall accumulation underestimation by tipping bucket gauges in the Spanish operational network
Compatibility of different measurement techniques of global solar radiation and application for long-term observations at Izaña Observatory
Uncertainties of ground-based microwave radiometer retrievals in zenith and off-zenith observations under snow conditions
Performance of post-processing algorithms for rainfall intensity using measurements from tipping-bucket rain gauges
Comparison of Vaisala radiosondes RS41 and RS92 at the ARM Southern Great Plains site
HOAPS and ERA-Interim precipitation over the sea: validation against shipboard in situ measurements
Quality assessment of solar UV irradiance measured with array spectroradiometers
Spatial mapping of ground-based observations of total ozone
Performance of WVSS-II hygrometers on the FAAM research aircraft
Solar irradiances measured using SPN1 radiometers: uncertainties and clues for development
Statistical modelling of collocation uncertainty in atmospheric thermodynamic profiles
Estimation of atmospheric mixing layer height from radiosonde data
Assessment of GPS radiosonde descent data
Yi Liu, Lihong Zhou, Yingzuo Qin, Cesar Azorin-Molina, Cheng Shen, Rongrong Xu, and Zhenzhong Zeng
Atmos. Meas. Tech., 17, 1123–1131, https://doi.org/10.5194/amt-17-1123-2024, https://doi.org/10.5194/amt-17-1123-2024, 2024
Short summary
Short summary
Our research analyzed China's wind speed data and addressed inconsistencies caused by factors like equipment changes and station relocations. After improving data quality, China's recent wind speed decrease reduced by 41 %, revealing an increasing trend. This emphasizes the importance of rigorous data processing for accurate trend assessments in various research fields.
Maurus Borne, Peter Knippertz, Martin Weissmann, Benjamin Witschas, Cyrille Flamant, Rosimar Rios-Berrios, and Peter Veals
Atmos. Meas. Tech., 17, 561–581, https://doi.org/10.5194/amt-17-561-2024, https://doi.org/10.5194/amt-17-561-2024, 2024
Short summary
Short summary
This study assesses the quality of Aeolus wind measurements over the tropical Atlantic. The results identified the accuracy and precision of the Aeolus wind measurements and the potential source of errors. For instance, the study revealed atmospheric conditions that can deteriorate the measurement quality, such as weaker laser signal in cloudy or dusty conditions, and confirmed the presence of an orbital-dependant bias. These results can help to improve the Aeolus wind measurement algorithm.
Marcel Schröder, Tobias Bätge, Eberhard Bodenschatz, Michael Wilczek, and Gholamhossein Bagheri
Atmos. Meas. Tech., 17, 627–657, https://doi.org/10.5194/amt-17-627-2024, https://doi.org/10.5194/amt-17-627-2024, 2024
Short summary
Short summary
The rate at which energy is dissipated in a turbulent flow is an extremely important quantity. In the atmosphere, it is usually measured by recording a velocity time at a specific location. Our goal is to understand how best to estimate the dissipation rate from such data based on various available methods. Our reference for evaluating the performance of the different methods is data generated with direct numerical simulations and in highly controlled laboratory setups.
Wenying He, Hongbin Chen, Hongyong Yu, Jun Li, Jidong Pan, Shuqing Ma, Xuefen Zhang, Rang Guo, Bingke Zhao, Xi Chen, Xiangao Xia, and Kaicun Wang
Atmos. Meas. Tech., 17, 135–144, https://doi.org/10.5194/amt-17-135-2024, https://doi.org/10.5194/amt-17-135-2024, 2024
Short summary
Short summary
The Marine Weather Observer (MWO) system completed a long-term observation, actively approaching the center of Typhoon Sinlaku on 24 July–2 August 2020, over the South China Sea. The in situ observations were evaluated through comparison with buoy observations during the evolution of Typhoon Sinlaku. As a mobile observation station, MWO has shown its unique advantages over traditional observation methods, and the results preliminarily demonstrate the reliable observation capability of MWO.
Carl E. Spangrude, Jennifer W. Fowler, W. Graham Moss, and June Wang
Atmos. Meas. Tech., 16, 5167–5179, https://doi.org/10.5194/amt-16-5167-2023, https://doi.org/10.5194/amt-16-5167-2023, 2023
Short summary
Short summary
Atmospheric measurements were completed for two total solar eclipses. An eclipse-specific weather model was utilized to model the atmosphere before, during, and after the eclipse events. These measurements have enabled further validation of the model's performance in simulating atmospheric responses to total solar eclipses. The paper concludes by recommending further scientific analyses to be explored utilizing the unique datasets presented.
Jérôme Kopp, Agostino Manzato, Alessandro Hering, Urs Germann, and Olivia Martius
Atmos. Meas. Tech., 16, 3487–3503, https://doi.org/10.5194/amt-16-3487-2023, https://doi.org/10.5194/amt-16-3487-2023, 2023
Short summary
Short summary
We present the first study of extended field observations made by a network of 80 automatic hail sensors from Switzerland. The sensors record the exact timing of hailstone impacts, providing valuable information about the local duration of hailfall. We found that the majority of hailfalls lasts just a few minutes and that most hailstones, including the largest, fall during a first phase of high hailstone density, while a few remaining and smaller hailstones fall in a second low-density phase.
Najmeh Kaffashzadeh
Atmos. Meas. Tech., 16, 3085–3100, https://doi.org/10.5194/amt-16-3085-2023, https://doi.org/10.5194/amt-16-3085-2023, 2023
Short summary
Short summary
Although quality control is a well-known issue in data application, research initiatives and organizations apply given methods based on traditional techniques (ad hoc thresholds and manual). These approaches are not only error prone but also unsuitable for a large volume of data. The method proposed in this paper is based on a new concept (probability) as an intuitive indicator and data’s characteristics, which leads it to be applicable to a wide variety of data and eases its
fit for purpose.
Charles Nelson Helms, Stephen Joseph Munchak, Ali Tokay, and Claire Pettersen
Atmos. Meas. Tech., 15, 6545–6561, https://doi.org/10.5194/amt-15-6545-2022, https://doi.org/10.5194/amt-15-6545-2022, 2022
Short summary
Short summary
This study compares the techniques used to measure snowflake shape by three instruments: PIP, MASC, and 2DVD. Our findings indicate that the MASC technique produces reliable shape measurements; the 2DVD technique performs better than expected considering the instrument was designed to measure raindrops; and the PIP technique does not produce reliable snowflake shape measurements. We also demonstrate that the PIP images can be reprocessed to correct the shape measurement issues.
Shunsuke Hoshino, Takuji Sugidachi, Kensaku Shimizu, Eriko Kobayashi, Masatomo Fujiwara, and Masami Iwabuchi
Atmos. Meas. Tech., 15, 5917–5948, https://doi.org/10.5194/amt-15-5917-2022, https://doi.org/10.5194/amt-15-5917-2022, 2022
Short summary
Short summary
GRUAN data products (GDPs) from Meisei iMS-100 and Vaisala RS92 were compared with 59 dual sounding data. For daytime observations, the iMS-100 temperature is around 0.5 K lower than RS92-GDP in the stratosphere, but for nighttime observations, the difference is around −0.1 K, and data are mostly in agreement. For relative humidity (RH), iMS-100 is around 1–2 % RH higher in the troposphere and 1 % RH smaller in the stratosphere than RS92, but both GDPs are in agreement for most of the profile.
Chih-Chun Chou, Paul J. Kushner, Stéphane Laroche, Zen Mariani, Peter Rodriguez, Stella Melo, and Christopher G. Fletcher
Atmos. Meas. Tech., 15, 4443–4461, https://doi.org/10.5194/amt-15-4443-2022, https://doi.org/10.5194/amt-15-4443-2022, 2022
Short summary
Short summary
Aeolus is the first satellite that provides global wind profile measurements. The mission aims to improve the weather forecasts in the tropics, but also, potentially, in the polar regions. We evaluate the performance of the instrument over the Canadian North and the Arctic by comparing its measured winds in both cloudy and non-cloudy layers to wind data from forecasts, reanalysis, and ground-based instruments. Overall, good agreement was seen, but Aeolus winds have greater dispersion.
Victoria Anne Sinclair, Jenna Ritvanen, Gabin Urbancic, Irina Statnaia, Yurii Batrak, Dmitri Moisseev, and Mona Kurppa
Atmos. Meas. Tech., 15, 3075–3103, https://doi.org/10.5194/amt-15-3075-2022, https://doi.org/10.5194/amt-15-3075-2022, 2022
Short summary
Short summary
We investigate the boundary-layer (BL) height and surface stability in southern Finland using radiosondes, a microwave radiometer and ERA5 reanalysis. Accurately quantifying the BL height is challenging, and the diagnosed BL height can depend strongly on the method used. Microwave radiometers provide reliable estimates of the BL height but only in unstable conditions. ERA5 captures the BL height well except under very stable conditions, which occur most commonly at night during the warm season.
Siebren de Haan, Paul M. A. de Jong, and Jitze van der Meulen
Atmos. Meas. Tech., 15, 811–818, https://doi.org/10.5194/amt-15-811-2022, https://doi.org/10.5194/amt-15-811-2022, 2022
Short summary
Short summary
AMDAR temperatures suffer from a bias, which can be related to a difference in the timing of height and measurement and to internal corrections applied to pressure altitude. Based on NWP model temperature data, combined with Mach number and true airspeed, we could estimate corrections. Comparing corrected temperatures with (independent) radiosonde observations demonstrates a reduction in the bias, from 0.5 K to around zero, and standard deviation, of almost 10 %.
Didier de Villiers, Marc Schleiss, Marie-Claire ten Veldhuis, Rolf Hut, and Nick van de Giesen
Atmos. Meas. Tech., 14, 5607–5623, https://doi.org/10.5194/amt-14-5607-2021, https://doi.org/10.5194/amt-14-5607-2021, 2021
Short summary
Short summary
Ground-based rainfall observations across the African continent are sparse. We present a new and inexpensive rainfall measuring instrument (the intervalometer) and use it to derive reasonably accurate rainfall rates. These are dependent on a fundamental assumption that is widely used in parameterisations of the rain drop size distribution. This assumption is tested and found to not apply for most raindrops but is still useful in deriving rainfall rates. The intervalometer shows good potential.
Olli Peltola, Karl Lapo, Ilkka Martinkauppi, Ewan O'Connor, Christoph K. Thomas, and Timo Vesala
Atmos. Meas. Tech., 14, 2409–2427, https://doi.org/10.5194/amt-14-2409-2021, https://doi.org/10.5194/amt-14-2409-2021, 2021
Short summary
Short summary
We evaluated the suitability of fiber-optic distributed temperature sensing (DTS) for observing spatial (>25 cm) and temporal (>1 s) details of airflow within and above forests. The DTS measurements could discern up to third-order moments of the flow and observe spatial details of coherent flow motions. Similar measurements are not possible with more conventional measurement techniques. Hence, the DTS measurements will provide key insights into flows close to roughness elements, e.g. trees.
Anne Martin, Martin Weissmann, Oliver Reitebuch, Michael Rennie, Alexander Geiß, and Alexander Cress
Atmos. Meas. Tech., 14, 2167–2183, https://doi.org/10.5194/amt-14-2167-2021, https://doi.org/10.5194/amt-14-2167-2021, 2021
Short summary
Short summary
This study provides an overview of validation activities to determine the Aeolus HLOS wind errors and to understand the biases by investigating possible dependencies and testing bias correction approaches. To ensure meaningful validation statistics, collocated radiosondes and two different global NWP models, the ECMWF IFS and the ICON model (DWD), are used as reference data. To achieve an estimate for the Aeolus instrumental error the representativeness errors for the comparisons are evaluated.
Rumeng Li, Qinghong Zhang, Juanzhen Sun, Yun Chen, Lili Ding, and Tian Wang
Atmos. Meas. Tech., 14, 785–801, https://doi.org/10.5194/amt-14-785-2021, https://doi.org/10.5194/amt-14-785-2021, 2021
Short summary
Short summary
In this paper, we describe a bias-correction method based on machine learning without the need to obtain users' personal information and demonstrate that the method can effectively reduce the bias in smartphone pressure observations. The characteristics of this dataset are discussed, and the potential application of the bias-corrected data is illustrated by the fine-scale analysis of a hailstorm that occurred on 10 June 2016 in Beijing, China.
Michael Fehlmann, Mario Rohrer, Annakaisa von Lerber, and Markus Stoffel
Atmos. Meas. Tech., 13, 4683–4698, https://doi.org/10.5194/amt-13-4683-2020, https://doi.org/10.5194/amt-13-4683-2020, 2020
Short summary
Short summary
The Thies disdrometer is used to monitor precipitation intensity and its phase and thus may provide valuable information for the management of meteorological and hydrological risks. In this study, we characterize biases of this instrument using common reference instruments at a pre-alpine study site in Switzerland. We find a systematic underestimation of liquid precipitation amounts and suggest possible reasons for and corrections to this bias and relate these findings to other study sites.
Adam Theisen, Max Ungar, Bryan Sheridan, and Bradley G. Illston
Atmos. Meas. Tech., 13, 4699–4713, https://doi.org/10.5194/amt-13-4699-2020, https://doi.org/10.5194/amt-13-4699-2020, 2020
Short summary
Short summary
A low-cost weather station with 3D-printed components was built, based on the UCAR 3D-PAWS project, and deployed alongside an Oklahoma Mesonet station for an 8-month study to determine the longevity of these sensors and their performance compared with standard commercial sensors. Results show that the low-cost sensors can perform as well as the more expensive commercial ones for short-term deployments with the possibility for long-term deployments with proper maintenance and replacement.
Boming Liu, Jianping Guo, Wei Gong, Lijuan Shi, Yong Zhang, and Yingying Ma
Atmos. Meas. Tech., 13, 4589–4600, https://doi.org/10.5194/amt-13-4589-2020, https://doi.org/10.5194/amt-13-4589-2020, 2020
Short summary
Short summary
Vertical wind profiles are crucial to a wide range of atmospheric disciplines. However, the wind profile across China remains poorly understood. Here we reveal the salient features of winds from the radar wind profile of China, including the main instruments, spatial coverage and sampling frequency. This work is expected to allow the public and scientific community to be more familiar with the nationwide network and encourage the use of these valuable data in future research and applications.
Tyler M. Bell, Brian R. Greene, Petra M. Klein, Matthew Carney, and Phillip B. Chilson
Atmos. Meas. Tech., 13, 3855–3872, https://doi.org/10.5194/amt-13-3855-2020, https://doi.org/10.5194/amt-13-3855-2020, 2020
Short summary
Short summary
It is well known that the atmospheric boundary layer is under-sampled in the vertical dimension. Recently, weather-sensing uncrewed aerial systems (WxUAS) have created new opportunities to sample this region of the atmosphere. This study compares a WxUAS developed at the University of Oklahoma to ground-based remote sensing and radiosondes. We find that overall the systems generally agreed well both thermodynamically and kinematically. However, there is still room to improve each system.
Hubert Luce and Hiroyuki Hashiguchi
Atmos. Meas. Tech., 13, 1989–1999, https://doi.org/10.5194/amt-13-1989-2020, https://doi.org/10.5194/amt-13-1989-2020, 2020
Short summary
Short summary
Vertical ascent rate Vb of meteorological balloons is sometimes used for retrieving vertical air velocity, an important parameter for meteorological applications. Comparisons with concurrent radar and unmanned aerial vehicle (UAV) measurements of atmospheric turbulence showed that Vb can be increased in turbulent layers due to the probable decrease in the drag coefficient of the balloon. We conclude that Vb can also potentially be used for the detection of atmospheric turbulence.
Matthias Mauder, Michael Eggert, Christian Gutsmuths, Stefan Oertel, Paul Wilhelm, Ingo Voelksch, Luise Wanner, Jens Tambke, and Ivan Bogoev
Atmos. Meas. Tech., 13, 969–983, https://doi.org/10.5194/amt-13-969-2020, https://doi.org/10.5194/amt-13-969-2020, 2020
Short summary
Short summary
Sonic anemometers are prone to probe-induced flow distortion effects. Here, we present the results of an intercomparison experiment between a CSAT3B sonic anemometer and a high-resolution bistatic Doppler lidar, which is inherently free of flow distortion. Our results show an agreement of the mean wind velocity measurements and the standard deviations of the vertical wind speed with comparabilities of 0.082 and 0.020 m s−1, respectively. Friction velocity is underestimated by the CSAT3B by 3 %.
Tara Hanlon and David Risk
Atmos. Meas. Tech., 13, 191–203, https://doi.org/10.5194/amt-13-191-2020, https://doi.org/10.5194/amt-13-191-2020, 2020
Short summary
Short summary
In this study, we aimed to improve accuracy of wind speed and direction measurements from an anemometer mounted atop a research vehicle. Controlled field tests and computer simulations showed that the vehicle shape biases airflow above the vehicle. The results indicate that placing an anemometer at a significant height (> 1 m) above the vehicle, and calibrating anemometer measurements for vehicle shape and wind angle, can be effective in reducing bias in measurements of wind speed and direction.
Eriko Kobayashi, Shunsuke Hoshino, Masami Iwabuchi, Takuji Sugidachi, Kensaku Shimizu, and Masatomo Fujiwara
Atmos. Meas. Tech., 12, 3039–3065, https://doi.org/10.5194/amt-12-3039-2019, https://doi.org/10.5194/amt-12-3039-2019, 2019
Short summary
Short summary
The authors carried out dual flights of RS-11G and RS92-SGP radiosondes and investigated the differences in the performance of the radiosondes to help characterize GRUAN data products. A novel aspect of GRUAN data products is that vertically resolved uncertainty estimates and metadata are provided for each sounding and comparison of GRUAN data products is important in securing the temporal homogeneity of climate data records.
Alfredo Peña, Ebba Dellwik, and Jakob Mann
Atmos. Meas. Tech., 12, 237–252, https://doi.org/10.5194/amt-12-237-2019, https://doi.org/10.5194/amt-12-237-2019, 2019
Short summary
Short summary
We propose a method to assess the accuracy of turbulence measurements by sonic anemometers. The idea is to compute the ratio of the vertical to along-wind velocity spectrum within the inertial subrange. We found that the Metek USA-1 and the Campbell CSAT3 sonic anemometers do not show the expected theoretical ratio. A wind-tunnel-based correction recovers the expected ratio for the USA-1. A correction for the CSAT3 does not, illustrating that this sonic anemometer suffers from flow distortion.
Fabien Carminati, Stefano Migliorini, Bruce Ingleby, William Bell, Heather Lawrence, Stuart Newman, James Hocking, and Andrew Smith
Atmos. Meas. Tech., 12, 83–106, https://doi.org/10.5194/amt-12-83-2019, https://doi.org/10.5194/amt-12-83-2019, 2019
Short summary
Short summary
The GRUAN processor is a software developed to collocate radiosonde profiles and numerical weather prediction model fields, simulate top-of-atmosphere brightness temperature at frequencies used by space-borne instruments, and propagate the radiosonde uncertainties in that simulation. This work responds to an identified lack of metrologically traceable characterisation of uncertainties in model fields that are increasingly used for the validation and calibration of space-borne instruments.
Fenghua Zhou, Rongwang Zhang, Rui Shi, Ju Chen, Yunkai He, Dongxiao Wang, and Qiang Xie
Atmos. Meas. Tech., 11, 6091–6106, https://doi.org/10.5194/amt-11-6091-2018, https://doi.org/10.5194/amt-11-6091-2018, 2018
Short summary
Short summary
In this work, successive air–sea heat flux-related data were acquired over the course of a year (01/02/2016–31/01/2017) at the YXASFT on Yongxing Island. Then, seasonal comparisons were conducted for the daily mean surface bulk variables and heat fluxes between the WHOI OAFlux products and YXASFT observations. The conclusions in this paper will provide useful reference for researchers on how to select the appropriate OAFlux datasets in different seasons over the South China Sea.
Dong-Kyun Kim and Chang-Keun Song
Atmos. Meas. Tech., 11, 3851–3860, https://doi.org/10.5194/amt-11-3851-2018, https://doi.org/10.5194/amt-11-3851-2018, 2018
Short summary
Short summary
A new technique to estimate vertical velocities from Parsivel-measured drop and velocity spectra is developed. The estimated vertical velocities (w) were compared with w components of winds measured from the anemometer at the same site. They showed good agreement with each other, suggesting that this technique is reliable and applicable to rainfall studies. With these w values, rainfall characteristics related to up-/downdraft were investigated on the windward and leeward sides of a mountain.
Astrid Lampert, Jörg Hartmann, Falk Pätzold, Lennart Lobitz, Peter Hecker, Katrin Kohnert, Eric Larmanou, Andrei Serafimovich, and Torsten Sachs
Atmos. Meas. Tech., 11, 2523–2536, https://doi.org/10.5194/amt-11-2523-2018, https://doi.org/10.5194/amt-11-2523-2018, 2018
Short summary
Short summary
We compared two different fast-response humidity sensors simultaneously on different airborne platforms. One is a particular, well-establed Lyman-alpha hygrometer that has been used for decades as the standard for fast airborne humidity measurements. However, it is not available any more. The other one is a hygrometer based on the absorption of infrared radiation, from LI-COR. For an environment of low vibrations, the LI-COR sensor is suitable for fast airborne water vapour measurements.
Nicholas Zelasko, Adam Wettlaufer, Bujidmaa Borkhuu, Matthew Burkhart, Leah S. Campbell, W. James Steenburgh, and Jefferson R. Snider
Atmos. Meas. Tech., 11, 441–458, https://doi.org/10.5194/amt-11-441-2018, https://doi.org/10.5194/amt-11-441-2018, 2018
Short summary
Short summary
The hotplate precipitation gauge has the potential to solve some problems with conventional precipitation gauge measurements, especially for snowfall. This paper extends the seminal published work, Rasmussen et al. (2011). We assert that the precipitation rate algorithm we have developed for the hotplate is an improvement on that which was previously published.
Matthias Mauder and Matthias J. Zeeman
Atmos. Meas. Tech., 11, 249–263, https://doi.org/10.5194/amt-11-249-2018, https://doi.org/10.5194/amt-11-249-2018, 2018
William Wandji Nyamsi, Mikko R. A. Pitkänen, Youva Aoun, Philippe Blanc, Anu Heikkilä, Kaisa Lakkala, Germar Bernhard, Tapani Koskela, Anders V. Lindfors, Antti Arola, and Lucien Wald
Atmos. Meas. Tech., 10, 4965–4978, https://doi.org/10.5194/amt-10-4965-2017, https://doi.org/10.5194/amt-10-4965-2017, 2017
Short summary
Short summary
This paper proposes a new, fast and accurate method for estimating UV fluxes at ground level in cloud-free conditions at any place and time. The method performs very well with the Copernicus Atmosphere Monitoring Service products as inputs describing the state of the atmosphere. An accuracy that is close to the uncertainty of the measurements themselves is reached. We believe that our research will be widely used in the near future.
Hannah K. Huelsing, Junhong Wang, Carl Mears, and John J. Braun
Atmos. Meas. Tech., 10, 4055–4066, https://doi.org/10.5194/amt-10-4055-2017, https://doi.org/10.5194/amt-10-4055-2017, 2017
Short summary
Short summary
The precipitable water (PW) was examined for the 2013 Colorado flood to determine how climatologically abnormal this event was. The seasonal PW maximum extended into early September and the September monthly mean PW exceeded the 99th percentile of climatology with a value 25% higher than the 40-year climatology. The above-normal, near-saturation PW values during the flood were the result of large-scale moisture transport into Colorado from the eastern tropical Pacific and the Gulf of Mexico.
Yoshimi Kawai, Masaki Katsumata, Kazuhiro Oshima, Masatake E. Hori, and Jun Inoue
Atmos. Meas. Tech., 10, 2485–2498, https://doi.org/10.5194/amt-10-2485-2017, https://doi.org/10.5194/amt-10-2485-2017, 2017
Short summary
Short summary
The model RS92 radiosonde manufactured by Vaisala Ltd. is now being replaced with a successor model, the RS41, and we need to clarify accuracy differences between them for a variety of research. For this purpose, 36 twin-radiosonde flights were performed over the oceans from the Arctic to the tropics. Basically the differences between the RS41 and RS92 were smaller than the nominal combined uncertainties of the RS41; however, we found non-negligible biases in relative humidity and pressure.
Stefano Federico, Rosa Claudia Torcasio, Paolo Sanò, Daniele Casella, Monica Campanelli, Jan Fokke Meirink, Ping Wang, Stefania Vergari, Henri Diémoz, and Stefano Dietrich
Atmos. Meas. Tech., 10, 2337–2352, https://doi.org/10.5194/amt-10-2337-2017, https://doi.org/10.5194/amt-10-2337-2017, 2017
Short summary
Short summary
In this paper we evaluate the performance of two estimates of the global horizontal irradiance (GHI), one derived from the Meteosat Second Generation and one from a meteorological model (Regional Atmospheric Modeling System) forecast. The focus area is Italy, and the performance is evaluated for 12 pyranometers spanning a range of climate conditions, from Mediterranean maritime to Alpine.
Armin Sigmund, Lena Pfister, Chadi Sayde, and Christoph K. Thomas
Atmos. Meas. Tech., 10, 2149–2162, https://doi.org/10.5194/amt-10-2149-2017, https://doi.org/10.5194/amt-10-2149-2017, 2017
Dietmar J. Baumgartner, Werner Pötzi, Heinrich Freislich, Heinz Strutzmann, Astrid M. Veronig, and Harald E. Rieder
Atmos. Meas. Tech., 10, 1181–1190, https://doi.org/10.5194/amt-10-1181-2017, https://doi.org/10.5194/amt-10-1181-2017, 2017
Short summary
Short summary
In this work we present KSO-STREAMS (KSO-SunTRackEr Accuracy Monitoring System), a platform-independent, fully automated, and cost-effective system to evaluate the pointing accuracy of Sun-tracking devices as well as its application at the Kanzelhöhe Observatory (KSO) Austrian radiation monitoring network (ARAD) site and to the results from a 15-week evaluating period.
Samuel T. Buisán, Michael E. Earle, José Luís Collado, John Kochendorfer, Javier Alastrué, Mareile Wolff, Craig D. Smith, and Juan I. López-Moreno
Atmos. Meas. Tech., 10, 1079–1091, https://doi.org/10.5194/amt-10-1079-2017, https://doi.org/10.5194/amt-10-1079-2017, 2017
Short summary
Short summary
Within the framework of the WMO-SPICE (Solid Precipitation Intercomparison Experiment) the Thies tipping bucket precipitation gauge, widely used at AEMET, was assessed against the SPICE reference.
Most countries use tipping buckets and for this reason the underestimation of snowfall precipitation is a large-scale problem.
The methodology presented here can be used by other national weather services to test precipitation bias corrections and to identify regions where errors are higher.
Rosa Delia García, Emilio Cuevas, Omaira Elena García, Ramón Ramos, Pedro Miguel Romero-Campos, Fernado de Ory, Victoria Eugenia Cachorro, and Angel de Frutos
Atmos. Meas. Tech., 10, 731–743, https://doi.org/10.5194/amt-10-731-2017, https://doi.org/10.5194/amt-10-731-2017, 2017
Short summary
Short summary
A 1-year intercomparison of classical and modern radiation and sunshine duration instruments has been performed at Izaña Atmospheric Observatory. We compare global solar radiation (GSR) records measured with a Kipp & Zonen CM-21 pyranometer, taken in the framework of the Baseline Surface Radiation Network, with those measured with a multifilter rotating shadowband radiometer and a bimetallic pyranometer, and with GSR estimated from sunshine duration performed with a CS sunshine recorder.
Wengang Zhang, Guirong Xu, Yuanyuan Liu, Guopao Yan, Dejun Li, and Shengbo Wang
Atmos. Meas. Tech., 10, 155–165, https://doi.org/10.5194/amt-10-155-2017, https://doi.org/10.5194/amt-10-155-2017, 2017
Short summary
Short summary
A comparison between a microwave radiometer and radiosonde is carried out, and performances of zenith and off-zenith observations during snowfall are shown. In off-zenith observations, the effect of snow is obviously mitigated, and the deviation between microwave radiometer and radiosonde is small. With the aid of off-zenith observation, reliable thermodynamic atmospheric profiles can be collected, and those will be useful for the analysis and forecasting of severe convective weather.
Mattia Stagnaro, Matteo Colli, Luca Giovanni Lanza, and Pak Wai Chan
Atmos. Meas. Tech., 9, 5699–5706, https://doi.org/10.5194/amt-9-5699-2016, https://doi.org/10.5194/amt-9-5699-2016, 2016
Short summary
Short summary
The research presented in this work involves field data analysis, numerical modelling techniques and approaches to a long-standing problem of liquid precipitation measurements: the sampling and the interpretation of the tipping-bucket sensor signal. The present study shows relevant implications of the adopted data processing methods for the accuracy of the rainfall intensity measurements provided by traditional tipping-bucket gauges.
Michael P. Jensen, Donna J. Holdridge, Petteri Survo, Raisa Lehtinen, Shannon Baxter, Tami Toto, and Karen L. Johnson
Atmos. Meas. Tech., 9, 3115–3129, https://doi.org/10.5194/amt-9-3115-2016, https://doi.org/10.5194/amt-9-3115-2016, 2016
Short summary
Short summary
An intercomparison of Vaisala's latest-generation radiosonde RS41 and the widely used RS92 was performed in north-central Oklahoma, USA, during June 2014. The results indicate that for the conditions observed during the intercomparison the measurements of pressure, temperature, humidity, and winds agree to within the manufacturer-specified combined uncertainties. Some important exceptions were noted when exiting liquid cloud layers where evaporative cooling has less impact for RS41 measurements.
Karl Bumke, Gert König-Langlo, Julian Kinzel, and Marc Schröder
Atmos. Meas. Tech., 9, 2409–2423, https://doi.org/10.5194/amt-9-2409-2016, https://doi.org/10.5194/amt-9-2409-2016, 2016
Short summary
Short summary
Satellite-derived HOAPS and ERA-Interim reanalysis data were validated against shipboard precipitation measurements. Results show that HOAPS detects the frequency of precipitation well, while ERA-Interim strongly overestimates it, especially at low latitudes. However, HOAPS underestimates precipitation rates, while ERA-Interim's Atlantic-wide precipitation rate is close to measurements. ERA-Interim strongly overestimates it in the intertropical convergence zone and southern subtropics.
Luca Egli, Julian Gröbner, Gregor Hülsen, Luciano Bachmann, Mario Blumthaler, Jimmy Dubard, Marina Khazova, Richard Kift, Kees Hoogendijk, Antonio Serrano, Andrew Smedley, and José-Manuel Vilaplana
Atmos. Meas. Tech., 9, 1553–1567, https://doi.org/10.5194/amt-9-1553-2016, https://doi.org/10.5194/amt-9-1553-2016, 2016
Short summary
Short summary
Array spectroradiometers are small, light, robust and cost-effective instruments, and are increasingly used for atmospheric measurements. The quality of array spectroradiometers is assessed for the reliable quantification of ultraviolet radiation (UV) in order to monitor the exposure of UV radiation to human health. The study shows that reliable UV measurements with these instruments are limited for observations around noon and show large biases in the morning and evening.
K.-L. Chang, S. Guillas, and V. E. Fioletov
Atmos. Meas. Tech., 8, 4487–4505, https://doi.org/10.5194/amt-8-4487-2015, https://doi.org/10.5194/amt-8-4487-2015, 2015
Short summary
Short summary
The aim of this article is to analyze the total column ozone data from the World Ozone and Ultraviolet Radiation Data Centre (WOUDC) that consists of around 150 stations irregularly spaced over the globe. Our use of a new statistical spatial technique over the globe can greatly outperform the currently used spatial approximation of the total column ozone in terms of approximation. We feel that this technique could benefit the ozone science community.
A. K. Vance, S. J. Abel, R. J. Cotton, and A. M. Woolley
Atmos. Meas. Tech., 8, 1617–1625, https://doi.org/10.5194/amt-8-1617-2015, https://doi.org/10.5194/amt-8-1617-2015, 2015
Short summary
Short summary
Comparisons on the FAAM BAe 146-301 aircraft show good agreement between chilled mirror hygrometers and a WVSS-II fed from a modified Rosemount inlet (wvssR) in coud-free conditions, but a WVSS-II fed from the standard flush inlet (wvssF) over-reads, except at higher humidities. Case studies in cloudy conditions show that wvssF is immune to liquid water and ice, whilst wvssR is susceptible to both. Both WVSS-II inlets respond much more rapidly than the chilled mirror devices, especially wvssF.
J. Badosa, J. Wood, P. Blanc, C. N. Long, L. Vuilleumier, D. Demengel, and M. Haeffelin
Atmos. Meas. Tech., 7, 4267–4283, https://doi.org/10.5194/amt-7-4267-2014, https://doi.org/10.5194/amt-7-4267-2014, 2014
A. Fassò, R. Ignaccolo, F. Madonna, B. B. Demoz, and M. Franco-Villoria
Atmos. Meas. Tech., 7, 1803–1816, https://doi.org/10.5194/amt-7-1803-2014, https://doi.org/10.5194/amt-7-1803-2014, 2014
X. Y. Wang and K. C. Wang
Atmos. Meas. Tech., 7, 1701–1709, https://doi.org/10.5194/amt-7-1701-2014, https://doi.org/10.5194/amt-7-1701-2014, 2014
M. Venkat Ratnam, N. Pravallika, S. Ravindra Babu, G. Basha, M. Pramitha, and B. V. Krishna Murthy
Atmos. Meas. Tech., 7, 1011–1025, https://doi.org/10.5194/amt-7-1011-2014, https://doi.org/10.5194/amt-7-1011-2014, 2014
Cited articles
Anvari, M., Lohmann, G., Wächter, M., Milan, P., Lorenz, E., Heinemann, D., Tabar, M. R. R., and Peinke, J.: Short term fluctuations of wind and solar power systems, New J. Phys., 18, 063027, https://doi.org/10.1088/1367-2630/18/6/063027, 2016.
Aryaputera, A. W., Yang, D., Zhao, L., and Walsh, W. M.: Very short-term irradiance forecasting at unobserved locations using spatio-temporal kriging, Sol. Energy, 122, 1266–1278, https://doi.org/10.1016/j.solener.2015.10.023, 2015.
Belhaouas, N., Cheikh, M.-S. A., Agathoklis, P., Oularbi, M.-R., Amrouche, B., Sedraoui, K., and Djilali, N.: PV array power output maximization under partial shading using new shifted PV array arrangements, Appl. Energ., 187, 326–337, https://doi.org/10.1016/j.apenergy.2016.11.038, 2017.
Bosch, J. and Kleissl, J.: Cloud motion vectors from a network of ground sensors in a solar power plant, Sol. Energy, 95, 13–20, https://doi.org/10.1016/j.solener.2013.05.027, 2013.
Calif, R., Schmitt, F. G., Huang, Y., and Soubdhan, T.: Intermittency study of high frequency global solar radiation sequences under a tropical climate, Sol. Energy, 98, 349–365, https://doi.org/10.1016/j.solener.2013.09.018, 2013.
Creative Commons: Attribution-NonCommercial 4.0 International Public License (CC BY-NC 4.0), available at: https://creativecommons.org/licenses/by-nc/4.0/legalcode (last access: 13 June 2017), 2013.
Dumortier, D.: Modelling global and diffuse horizontal irradiances under cloudless skies with different turbidities, Daylight II, JOU2-CT92-0144, Final Report, 1995.
Dyreson, A. R., Morgan, E. R., Monger, S. H., and Acker, T. L.: Modeling solar irradiance smoothing for large PV power plants using a 45-sensor network and the Wavelet Variability Model, Sol. Energy, 110, 482–495, https://doi.org/10.1016/j.solener.2014.09.027, 2014.
Eastman, R., Warren, S. G., and Hahn, C. J.: Climatic Atlas of Clouds Over Land and Ocean, available at: http://www.atmos.washington.edu/CloudMap/ (last access: 20 April 2018), 2014.
Eissa, Y., Munawwar, S., Oumbe, A., Blanc, P., Ghedira, H., Wald, L., Bru, H., and Goffe, D.: Validating surface downwelling solar irradiances estimated by the McClear model under cloud-free skies in the United Arab Emirates, Sol. Energy, 114, 17–31, https://doi.org/10.1016/j.solener.2015.01.017, 2015.
Gagné, A., Turcotte, D., Goswamy, N., and Poissant, Y.: High resolution characterisation of solar variability for two sites in Eastern Canada, Sol. Energy, 137, 46–54, https://doi.org/10.1016/j.solener.2016.07.042, 2016.
Gallego, C., Costa, A., Cuerva, A., Landberg, L., Greaves, B., and Collins, J.: A wavelet-based approach for large wind power ramp characterisation: A wavelet-based approach for large wind power ramp characterisation, Wind Energy, 16, 257–278, https://doi.org/10.1002/we.550, 2013.
Hahn, C. and Warren, S.: A Gridded Climatology of Clouds over Land (1971–96) and Ocean (1954–97) from Surface Observations Worldwide, Tech. rep., Oak Ridge National Laboratory, dataset, https://doi.org/10.3334/CDIAC/cli.ndp026e, 2007.
Hinkelman, L. M.: Differences between along-wind and cross-wind solar irradiance variability on small spatial scales, Sol. Energy, 88, 192–203, https://doi.org/10.1016/j.solener.2012.11.011, 2013.
Hoff, T. E. and Perez, R.: Quantifying PV power output variability, Sol. Energy, 84, 1782–1793, 2010.
Hoff, T. E. and Perez, R.: Modeling PV fleet output variability, Sol. Energy, 86, 2177–2189, https://doi.org/10.1016/j.solener.2011.11.005, 2012.
Jurado, M., Caridad, J., and Ruiz, V.: Statistical distribution of the clearness index with radiation data integrated over five minute intervals, Sol. Energy, 55, 469–473, https://doi.org/10.1016/0038-092X(95)00067-2, 1995.
Lave, M., Kleissl, J., and Arias-Castro, E.: High-frequency irradiance fluctuations and geographic smoothing, Sol. Energy, 86, 2190–2199, https://doi.org/10.1016/j.solener.2011.06.031, 2012.
Lefèvre, M. and Wald, L.: Validation of the McClear clear-sky model in desert conditions with three stations in Israel, Adv. Sci. Res., 13, 21–26, https://doi.org/10.5194/asr-13-21-2016, 2016.
Lefèvre, M., Oumbe, A., Blanc, P., Espinar, B., Gschwind, B., Qu, Z., Wald, L., Schroedter-Homscheidt, M., Hoyer-Klick, C., Arola, A., Benedetti, A., Kaiser, J. W., and Morcrette, J.-J.: McClear: a new model estimating downwelling solar radiation at ground level in clear-sky conditions, Atmos. Meas. Tech., 6, 2403–2418, https://doi.org/10.5194/amt-6-2403-2013, 2013.
Liu, B. Y. and Jordan, R. C.: The interrelationship and characteristic distribution of direct, diffuse and total solar radiation, Sol. Energy, 4, 1–19, https://doi.org/10.1016/0038-092X(60)90062-1, 1960.
Lohmann, G. M., Monahan, A. H., and Heinemann, D.: Local short-term variability in solar irradiance, Atmos. Chem. Phys., 16, 6365–6379, https://doi.org/10.5194/acp-16-6365-2016, 2016.
Lohmann, G. M., Hammer, A., Monahan, A. H., Schmidt, T., and Heinemann, D.: Simulating clear-sky index increment correlations under mixed sky conditions using a fractal cloud model, Sol. Energy, 150, 255–264, https://doi.org/10.1016/j.solener.2017.04.048, 2017.
Lorenzo, A. T., Holmgren, W. F., and Cronin, A. D.: Irradiance forecasts based on an irradiance monitoring network, cloud motion, and spatial averaging, Sol. Energy, 122, 1158–1169, https://doi.org/10.1016/j.solener.2015.10.038, 2015a.
Lorenzo, A. T., Holmgren, W. F., and Cronin, A. D.: Irradiance monitoring network data and wind motion vectors, Zenodo, https://doi.org/10.5281/zenodo.29070, 2015b.
Macke, A., Seifert, P., Baars, H., Barthlott, C., Beekmans, C., Behrendt, A., Bohn, B., Brueck, M., Bühl, J., Crewell, S., Damian, T., Deneke, H., Düsing, S., Foth, A., Di Girolamo, P., Hammann, E., Heinze, R., Hirsikko, A., Kalisch, J., Kalthoff, N., Kinne, S., Kohler, M., Löhnert, U., Madhavan, B. L., Maurer, V., Muppa, S. K., Schween, J., Serikov, I., Siebert, H., Simmer, C., Späth, F., Steinke, S., Träumner, K., Trömel, S., Wehner, B., Wieser, A., Wulfmeyer, V., and Xie, X.: The HD(CP)2 Observational Prototype Experiment (HOPE) – an overview, Atmos. Chem. Phys., 17, 4887–4914, https://doi.org/10.5194/acp-17-4887-2017, 2017.
Madanchi, A., Absalan, M., Lohmann, G., Anvari, M., and Reza Rahimi Tabar, M.: Strong short-term non-linearity of solar irradiance fluctuations, Sol. Energy, 144, 1–9, https://doi.org/10.1016/j.solener.2017.01.008, 2017.
Madhavan, B. L., Kalisch, J., and Macke, A.: Shortwave surface radiation network for observing small-scale cloud inhomogeneity fields, Atmos. Meas. Tech., 9, 1153–1166, https://doi.org/10.5194/amt-9-1153-2016, 2016.
Madhavan, B. L., Deneke, H., Witthuhn, J., and Macke, A.: Multiresolution analysis of the spatiotemporal variability in global radiation observed by a dense network of 99 pyranometers, Atmos. Chem. Phys., 17, 3317–3338, https://doi.org/10.5194/acp-17-3317-2017, 2017.
Marcos, J., Marroyo, L., Lorenzo, E., Alvira, D., and Izco, E.: From irradiance to output power fluctuations: the PV plant as a low pass filter, Progress in Photovoltaics: Research and Applications, 19, 505–510, https://doi.org/10.1002/pip.1063, 2011a.
Marcos, J., Marroyo, L., Lorenzo, E., Alvira, D., and Izco, E.: Power output fluctuations in large scale PV plants: One year observations with one second resolution and a derived analytic model, Progress in Photovoltaics: Research and Applications, 19, 218–227, https://doi.org/10.1002/pip.1016, 2011b.
Matheron, G.: Principles of geostatistics, Econ. Geol., 58, 1246, https://doi.org/10.2113/gsecongeo.58.8.1246, 1963.
McArthur, L. J. B.: World climate research programme – Baseline surface radiation network (BSRN) – Operations manual version 2.1, 2005.
Monger, S. H., Morgan, E. R., Dyreson, A. R., and Acker, T. L.: Applying the kriging method to predicting irradiance variability at a potential PV power plant, Renew. Energ., 86, 602–610, https://doi.org/10.1016/j.renene.2015.08.058, 2016.
Munkhammar, J., Widén, J., and Hinkelman, L. M.: A copula method for simulating correlated instantaneous solar irradiance in spatial networks, Sol. Energy, 143, 10–21, 2017.
Natural Resources Canada: High-Resolution Solar Radiation Datasets, available at: http://www.nrcan.gc.ca/energy/renewable-electricity/solar-photovoltaic/18409 (last access: 13 June 2017), 2016.
Ohmura, A., Gilgen, H., Hegner, H., Müller, G., Wild, M., Dutton, E. G., Forgan, B., Fröhlich, C., Philipona, R., Heimo, A., König-Langlo, G., McArthur, B., Pinker, R., Whitlock, C. H., and Dehne, K.: Baseline surface radiation network (BSRN/WCRP): New precision radiometry for climate research, B. Am. Meteorol. Soc., 79, 2115–2136, https://doi.org/10.1175/1520-0477(1998)079<2115:BSRNBW>2.0.CO;2, 1998.
Perez, R., Kivalov, S., Schlemmer, J., Hemker, K., and Hoff, T.: Parameterization of site-specific short-term irradiance variability, Sol. Energy, 85, 1343–1353, https://doi.org/10.1016/j.solener.2011.03.016, 2011.
Perez, R., Kivalov, S., Schlemmer, J., Hemker Jr., K., and Hoff, T. E.: Short-term irradiance variability: Preliminary estimation of station pair correlation as a function of distance, Sol. Energy, 86, 2170–2176, 2012.
Perez, R., David, M., Hoff, T. E., Jamaly, M., Kivalov, S., Kleissl, J., Lauret, P., and Perez, M.: Spatial and temporal variability of solar energy, Foundations and Trends' in Renewable Energy, 1, 1–44, https://doi.org/10.1561/2700000006, 2016.
Perpiñán, O.: Statistical analysis of the performance and simulation of a two-axis tracking PV system, Sol. Energy, 83, 2074–2085, https://doi.org/10.1016/j.solener.2009.08.008, 2009.
Perpiñán, O. and Lorenzo, E.: Analysis and synthesis of the variability of irradiance and PV power time series with the wavelet transform, Sol. Energy, 85, 188–197, 2011.
R Core Team: R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, available at: https://www.R-project.org/ (last access: 10 April 2018), 2017.
Remund, J., Wald, L., Lefèvre, M., Ranchin, T., and Page, J.: Worldwide Linke turbidity information, in: ISES Solar World Congress 2003, vol. 400, 1–13, International Sol. Energy Society (ISES), 2003.
Schade, N. H., Macke, A., Sandmann, H., and Stick, C.: Enhanced solar global irradiance during cloudy sky conditions, Meteorol. Z., 16, 295–303, https://doi.org/10.1127/0941-2948/2007/0206, 2007.
Schmidt, T. and Lohmann, G. M.: A 10 Hz irradiance dataset from Oldenburg, Germany, Zenodo, https://doi.org/10.5281/zenodo.1216763, 2018.
Schmidt, T., Kalisch, J., Lorenz, E., and Heinemann, D.: Evaluating the spatio-temporal performance of sky-imager-based solar irradiance analysis and forecasts, Atmos. Chem. Phys., 16, 3399–3412, https://doi.org/10.5194/acp-16-3399-2016, 2016.
Sengupta, M. and Andreas, A.: Oahu solar measurement grid (1-year archive): 1-second solar irradiance; Oahu, Hawaii (data), Tech. rep., https://doi.org/10.5439/1052451, 2010.
Skartveit, A. and Olseth, J.: The probability density and autocorrelation of short-term global and beam irradiance, Sol. Energy, 49, 477–487, https://doi.org/10.1016/0038-092X(92)90155-4, 1992.
Solar Power Europe (SPE): Solar market report & membership directory, available at: http://www.solarpowereurope.org/fileadmin/user_upload/documents/2015_Market_Report/SPE16_Members_Directory_high_res.pdf (last access: 28 May 2018), 2016.
Standardized Atmospheric Measurement Data: Shortwave broadband downwelling shortwave radiation (surface), available at: https://icdc.cen.uni-hamburg.de/index.php?id=hope_trop_pyrnet00_l1_rsds, last access: 13 June 2017.
Stetz, T., von Appen, J., Niedermeyer, F., Scheibner, G., Sikora, R., and Braun, M.: Twilight of the grids: The impact of distributed solar on Germany's energy transition, IEEE Power Energy M., 13, 50–61, https://doi.org/10.1109/MPE.2014.2379971, 2015.
Suehrcke, H. and McCormick, P. G.: The frequency distribution of instantaneous insolation values, Sol. Energy, 40, 413–422, 1988.
Suri, M., Huld, T., Dunlop, E., Albuisson, M., Lefevre, M., and Wald, L.: Uncertainties in solar electricity yield prediction from fluctuation of solar radiation, in: 22nd European Photovoltaic Solar Energy Conference, 2007.
Tabar, M. R. R., Anvari, M., Lohmann, G., Heinemann, D., Wächter, M., Milan, P., Lorenz, E., and Peinke, J.: Kolmogorov spectrum of renewable wind and solar power fluctuations, The European Physical Journal Special Topics, 223, 1–8, https://doi.org/10.1140/epjst/e2014-02217-8, 2014.
Torres Lobera, D., Mäki, A., Huusari, J., Lappalainen, K., Suntio, T., and Valkealahti, S.: Operation of TUT solar PV power station research plant under partial shading caused by snow and buildings, International Journal of Photoenergy, 2013, 2013.
van Haaren, R., Morjaria, M., and Fthenakis, V.: Empirical assessment of short-term variability from utility-scale solar PV plants, Progress in Photovoltaics: Research and Applications, 22, 548–559, https://doi.org/10.1002/pip.2302, 2014.
Wald, L.: Some examples of the use of structure functions in the analysis of satellite images of the ocean, Photogramm. Eng. Rem. S., 55, 1487–1490, 1989.
Widén, J.: A model of spatially integrated solar irradiance variability based on logarithmic station-pair correlations, Sol. Energy, 122, 1409–1424, https://doi.org/10.1016/j.solener.2015.10.043, 2015.
Woyte, A., Van Thong, V., Belmans, R., and Nijs, J.: Voltage fluctuations on distribution level introduced by photovoltaic systems, IEEE Ener. Conv. 21, 202–209, https://doi.org/10.1109/TEC.2005.845454, 2006.
Woyte, A., Belmans, R., and Nijs, J.: Fluctuations in instantaneous clearness index: Analysis and statistics, Sol. Energy, 81, 195–206, https://doi.org/10.1016/j.solener.2006.03.001, 2007a.
Woyte, A., Belmans, R., and Nijs, J.: Localized spectral analysis of fluctuating power generation from solar energy systems, EURASIP Journal on Advances in Signal Processing, 2007, 2007b.
Woyte, A., Richter, M., Moser, D., Mau, S., Reich, N., and Jahn, U.: Monitoring of photovoltaic systems: good practices and systematic analysis, in: Proc. 28th European Photovoltaic Solar Energy Conference, 3686–3694, 2013.
Yordanov, G., Midtgård, O.-M., Saetre, T., Nielsen, H., and Norum, L.: Overirradiance (cloud enhancement) events at high latitudes, IEEE J. Photovolt., 3, 271–277, https://doi.org/10.1109/JPHOTOV.2012.2213581, 2013a.
Yordanov, G., Saetre, T., and Midtgard, O.-M.: Optimal temporal resolution for detailed studies of cloud-enhanced sunlight (Overirradiance), Photovoltaic Specialists Conference (PVSC), 2013 IEEE 39th, 0985–0988, https://doi.org/10.1109/PVSC.2013.6744306, 2013b.
Short summary
Using high-resolution surface irradiance data with original temporal resolutions between 0.01 s and 1 s from six different locations in the Northern Hemisphere, we characterize the changes in representation of temporal variability resulting from time averaging. Our results indicate that a temporal averaging time scale of around 1 s marks a transition in representing single-point irradiance variability, such that longer averages result in substantial underestimates of variability.
Using high-resolution surface irradiance data with original temporal resolutions between 0.01 s...
