Research article
19 Feb 2015
Research article | 19 Feb 2015
Retrieval of daytime total columnar water vapour from MODIS measurements over land surfaces
H. Diedrich et al.
Related authors
An intercalibrated dataset of total column water vapour and wet tropospheric correction based on MWR on board ERS-1, ERS-2, and Envisat
Ralf Bennartz, Heidrun Höschen, Bruno Picard, Marc Schröder, Martin Stengel, Oliver Sus, Bojan Bojkov, Stefano Casadio, Hannes Diedrich, Salomon Eliasson, Frank Fell, Jürgen Fischer, Rainer Hollmann, Rene Preusker, and Ulrika Willén
Atmos. Meas. Tech., 10, 1387–1402, https://doi.org/10.5194/amt-10-1387-2017,https://doi.org/10.5194/amt-10-1387-2017, 2017
Short summary
Dissolved organic matter at the fluvial–marine transition in the Laptev Sea using in situ data and ocean colour remote sensing
Bennet Juhls, Pier Paul Overduin, Jens Hölemann, Martin Hieronymi, Atsushi Matsuoka, Birgit Heim, and Jürgen Fischer
Biogeosciences, 16, 2693–2713, https://doi.org/10.5194/bg-16-2693-2019,https://doi.org/10.5194/bg-16-2693-2019, 2019
Short summary
Combining data from the distributed GRUAN site Lauder–Invercargill, New Zealand, to provide a site atmospheric state best estimate of temperature
Jordis S. Tradowsky, Gregory E. Bodeker, Richard R. Querel, Peter J. H. Builtjes, and Jürgen Fischer
Earth Syst. Sci. Data, 10, 2195–2211, https://doi.org/10.5194/essd-10-2195-2018,https://doi.org/10.5194/essd-10-2195-2018, 2018
Short summary
An intercalibrated dataset of total column water vapour and wet tropospheric correction based on MWR on board ERS-1, ERS-2, and Envisat
Ralf Bennartz, Heidrun Höschen, Bruno Picard, Marc Schröder, Martin Stengel, Oliver Sus, Bojan Bojkov, Stefano Casadio, Hannes Diedrich, Salomon Eliasson, Frank Fell, Jürgen Fischer, Rainer Hollmann, Rene Preusker, and Ulrika Willén
Atmos. Meas. Tech., 10, 1387–1402, https://doi.org/10.5194/amt-10-1387-2017,https://doi.org/10.5194/amt-10-1387-2017, 2017
Short summary
Bayesian cloud detection for MERIS, AATSR, and their combination
A. Hollstein, J. Fischer, C. Carbajal Henken, and R. Preusker
Atmos. Meas. Tech., 8, 1757–1771, https://doi.org/10.5194/amt-8-1757-2015,https://doi.org/10.5194/amt-8-1757-2015, 2015
Short summary
Multichannel analysis of correlation length of SEVIRI images around ground-based cloud observatories to determine their representativeness
J. Slobodda, A. Hünerbein, R. Lindstrot, R. Preusker, K. Ebell, and J. Fischer
Atmos. Meas. Tech., 8, 567–578, https://doi.org/10.5194/amt-8-567-2015,https://doi.org/10.5194/amt-8-567-2015, 2015
Short summary
A global climatology of total columnar water vapour from SSM/I and MERIS
R. Lindstrot, M. Stengel, M. Schröder, J. Fischer, R. Preusker, N. Schneider, T. Steenbergen, and B. R. Bojkov
Earth Syst. Sci. Data, 6, 221–233, https://doi.org/10.5194/essd-6-221-2014,https://doi.org/10.5194/essd-6-221-2014, 2014
Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2
J. Joiner, L. Guanter, R. Lindstrot, M. Voigt, A. P. Vasilkov, E. M. Middleton, K. F. Huemmrich, Y. Yoshida, and C. Frankenberg
Atmos. Meas. Tech., 6, 2803–2823, https://doi.org/10.5194/amt-6-2803-2013,https://doi.org/10.5194/amt-6-2803-2013, 2013
Related subject area
Studies of the horizontal inhomogeneities in NO2 concentrations above a shipping lane using ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements and validation with airborne imaging DOAS measurements
André Seyler, Andreas C. Meier, Folkard Wittrock, Lisa Kattner, Barbara Mathieu-Üffing, Enno Peters, Andreas Richter, Thomas Ruhtz, Anja Schönhardt, Stefan Schmolke, and John P. Burrows
Atmos. Meas. Tech., 12, 5959–5977, https://doi.org/10.5194/amt-12-5959-2019,https://doi.org/10.5194/amt-12-5959-2019, 2019
Short summary
Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space
Daniel H. Cusworth, Daniel J. Jacob, Daniel J. Varon, Christopher Chan Miller, Xiong Liu, Kelly Chance, Andrew K. Thorpe, Riley M. Duren, Charles E. Miller, David R. Thompson, Christian Frankenberg, Luis Guanter, and Cynthia A. Randles
Atmos. Meas. Tech., 12, 5655–5668, https://doi.org/10.5194/amt-12-5655-2019,https://doi.org/10.5194/amt-12-5655-2019, 2019
Short summary
Improving the TROPOMI CO data product: update of the spectroscopic database and destriping of single orbits
Tobias Borsdorff, Joost aan de Brugh, Andreas Schneider, Alba Lorente, Manfred Birk, Georg Wagner, Rigel Kivi, Frank Hase, Dietrich G. Feist, Ralf Sussmann, Markus Rettinger, Debra Wunch, Thorsten Warneke, and Jochen Landgraf
Atmos. Meas. Tech., 12, 5443–5455, https://doi.org/10.5194/amt-12-5443-2019,https://doi.org/10.5194/amt-12-5443-2019, 2019
Short summary
Radiance-based retrieval bias mitigation for the MOPITT instrument: the version 8 product
Merritt N. Deeter, David P. Edwards, Gene L. Francis, John C. Gille, Debbie Mao, Sara Martínez-Alonso, Helen M. Worden, Dan Ziskin, and Meinrat O. Andreae
Atmos. Meas. Tech., 12, 4561–4580, https://doi.org/10.5194/amt-12-4561-2019,https://doi.org/10.5194/amt-12-4561-2019, 2019
Short summary
Description of a formaldehyde retrieval algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS)
Hyeong-Ahn Kwon, Rokjin J. Park, Gonzalo González Abad, Kelly Chance, Thomas P. Kurosu, Jhoon Kim, Isabelle De Smedt, Michel Van Roozendael, Enno Peters, and John Burrows
Atmos. Meas. Tech., 12, 3551–3571, https://doi.org/10.5194/amt-12-3551-2019,https://doi.org/10.5194/amt-12-3551-2019, 2019
Short summary
A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor
Oliver Schneising, Michael Buchwitz, Maximilian Reuter, Heinrich Bovensmann, John P. Burrows, Tobias Borsdorff, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Christian Hermans, Laura T. Iraci, Rigel Kivi, Jochen Landgraf, Isamu Morino, Justus Notholt, Christof Petri, David F. Pollard, Sébastien Roche, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Voltaire A. Velazco, Thorsten Warneke, and Debra Wunch
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-243,https://doi.org/10.5194/amt-2019-243, 2019
Revised manuscript accepted for AMT
Short summary
The cost function of the data fusion process and its application
Simone Ceccherini, Nicola Zoppetti, Bruno Carli, Ugo Cortesi, Samuele Del Bianco, and Cecilia Tirelli
Atmos. Meas. Tech., 12, 2967–2977, https://doi.org/10.5194/amt-12-2967-2019,https://doi.org/10.5194/amt-12-2967-2019, 2019
Short summary
First high-resolution BrO column retrievals from TROPOMI
Sora Seo, Andreas Richter, Anne-Marlene Blechschmidt, Ilias Bougoudis, and John Philip Burrows
Atmos. Meas. Tech., 12, 2913–2932, https://doi.org/10.5194/amt-12-2913-2019,https://doi.org/10.5194/amt-12-2913-2019, 2019
Short summary
Is a scaling factor required to obtain closure between measured and modelled atmospheric O4 absorptions? An assessment of uncertainties of measurements and radiative transfer simulations for 2 selected days during the MAD-CAT campaign
Thomas Wagner, Steffen Beirle, Nuria Benavent, Tim Bösch, Ka Lok Chan, Sebastian Donner, Steffen Dörner, Caroline Fayt, Udo Frieß, David García-Nieto, Clio Gielen, David González-Bartolome, Laura Gomez, François Hendrick, Bas Henzing, Jun Li Jin, Johannes Lampel, Jianzhong Ma, Kornelia Mies, Mónica Navarro, Enno Peters, Gaia Pinardi, Olga Puentedura, Janis Puķīte, Julia Remmers, Andreas Richter, Alfonso Saiz-Lopez, Reza Shaiganfar, Holger Sihler, Michel Van Roozendael, Yang Wang, and Margarita Yela
Atmos. Meas. Tech., 12, 2745–2817, https://doi.org/10.5194/amt-12-2745-2019,https://doi.org/10.5194/amt-12-2745-2019, 2019
Short summary
NO2 vertical profiles and column densities from MAX-DOAS measurements in Mexico City
Martina Michaela Friedrich, Claudia Rivera, Wolfgang Stremme, Zuleica Ojeda, Josué Arellano, Alejandro Bezanilla, José Agustín García-Reynoso, and Michel Grutter
Atmos. Meas. Tech., 12, 2545–2565, https://doi.org/10.5194/amt-12-2545-2019,https://doi.org/10.5194/amt-12-2545-2019, 2019
Short summary
Retrieval of atmospheric CH4 vertical information from TCCON FTIR spectra
Minqiang Zhou, Bavo Langerock, Mahesh Kumar Sha, Nicolas Kumps, Christian Hermans, Christof Petri, Thorsten Warneke, Huilin Chen, Jean-Marc Metzger, Rigel Kivi, Pauli Heikkinen, Michel Ramonet, and Martine De Mazière
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-94,https://doi.org/10.5194/amt-2019-94, 2019
Revised manuscript accepted for AMT
Short summary
Assessing the impact of clouds on ground-based UV–visible total column ozone measurements in the high Arctic
Xiaoyi Zhao, Kristof Bognar, Vitali Fioletov, Andrea Pazmino, Florence Goutail, Luis Millán, Gloria Manney, Cristen Adams, and Kimberly Strong
Atmos. Meas. Tech., 12, 2463–2483, https://doi.org/10.5194/amt-12-2463-2019,https://doi.org/10.5194/amt-12-2463-2019, 2019
Short summary
Merging of ozone profiles from SCIAMACHY, OMPS and SAGE II observations to study stratospheric ozone changes
Carlo Arosio, Alexei Rozanov, Elizaveta Malinina, Mark Weber, and John P. Burrows
Atmos. Meas. Tech., 12, 2423–2444, https://doi.org/10.5194/amt-12-2423-2019,https://doi.org/10.5194/amt-12-2423-2019, 2019
Short summary
Characterization and evaluation of AIRS-based estimates of the deuterium content of water vapor
John R. Worden, Susan S. Kulawik, Dejian Fu, Vivienne H. Payne, Alan E. Lipton, Igor Polonsky, Yuguang He, Karen Cady-Pereira, Jean-Luc Moncet, Robert L. Herman, Fredrick W. Irion, and Kevin W. Bowman
Atmos. Meas. Tech., 12, 2331–2339, https://doi.org/10.5194/amt-12-2331-2019,https://doi.org/10.5194/amt-12-2331-2019, 2019
Short summary
How bias correction goes wrong: measurement of XCO2 affected by erroneous surface pressure estimates
Matthäus Kiel, Christopher W. O'Dell, Brendan Fisher, Annmarie Eldering, Ray Nassar, Cameron G. MacDonald, and Paul O. Wennberg
Atmos. Meas. Tech., 12, 2241–2259, https://doi.org/10.5194/amt-12-2241-2019,https://doi.org/10.5194/amt-12-2241-2019, 2019
Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data
Udo Frieß, Steffen Beirle, Leonardo Alvarado Bonilla, Tim Bösch, Martina M. Friedrich, François Hendrick, Ankie Piters, Andreas Richter, Michel van Roozendael, Vladimir V. Rozanov, Elena Spinei, Jan-Lukas Tirpitz, Tim Vlemmix, Thomas Wagner, and Yang Wang
Atmos. Meas. Tech., 12, 2155–2181, https://doi.org/10.5194/amt-12-2155-2019,https://doi.org/10.5194/amt-12-2155-2019, 2019
Short summary
Sampling bias adjustment for sparsely sampled satellite measurements applied to ACE-FTS carbonyl sulfide observations
Corinna Kloss, Marc von Hobe, Michael Höpfner, Kaley A. Walker, Martin Riese, Jörn Ungermann, Birgit Hassler, Stefanie Kremser, and Greg E. Bodeker
Atmos. Meas. Tech., 12, 2129–2138, https://doi.org/10.5194/amt-12-2129-2019,https://doi.org/10.5194/amt-12-2129-2019, 2019
Short summary
Retrieval of water vapor using ground-based observations from a prototype ATOMMS active centimeter- and millimeter-wavelength occultation instrument
Dale M. Ward, E. Robert Kursinski, Angel C. Otarola, Michael Stovern, Josh McGhee, Abe Young, Jared Hainsworth, Jeff Hagen, William Sisk, and Heather Reed
Atmos. Meas. Tech., 12, 1955–1977, https://doi.org/10.5194/amt-12-1955-2019,https://doi.org/10.5194/amt-12-1955-2019, 2019
Short summary
The Mainz profile algorithm (MAPA)
Steffen Beirle, Steffen Dörner, Sebastian Donner, Julia Remmers, Yang Wang, and Thomas Wagner
Atmos. Meas. Tech., 12, 1785–1806, https://doi.org/10.5194/amt-12-1785-2019,https://doi.org/10.5194/amt-12-1785-2019, 2019
An improved total and tropospheric NO2 column retrieval for GOME-2
Song Liu, Pieter Valks, Gaia Pinardi, Isabelle De Smedt, Huan Yu, Steffen Beirle, and Andreas Richter
Atmos. Meas. Tech., 12, 1029–1057, https://doi.org/10.5194/amt-12-1029-2019,https://doi.org/10.5194/amt-12-1029-2019, 2019
Short summary
The effect of instrumental stray light on Brewer and Dobson total ozone measurements
Omid Moeini, Zahra Vaziri Zanjani, C. Thomas McElroy, David W. Tarasick, Robert D. Evans, Irina Petropavlovskikh, and Keh-Harng Feng
Atmos. Meas. Tech., 12, 327–343, https://doi.org/10.5194/amt-12-327-2019,https://doi.org/10.5194/amt-12-327-2019, 2019
Short summary
The Advanced Infra-Red WAter Vapour Estimator (AIRWAVE) version 2: algorithm evolution, dataset description and performance improvements
Elisa Castelli, Enzo Papandrea, Alessio Di Roma, Bianca Maria Dinelli, Stefano Casadio, and Bojan Bojkov
Atmos. Meas. Tech., 12, 371–388, https://doi.org/10.5194/amt-12-371-2019,https://doi.org/10.5194/amt-12-371-2019, 2019
Short summary
Intercomparison of four airborne imaging DOAS systems for tropospheric NO2 mapping – the AROMAPEX campaign
Frederik Tack, Alexis Merlaud, Andreas C. Meier, Tim Vlemmix, Thomas Ruhtz, Marian-Daniel Iordache, Xinrui Ge, Len van der Wal, Dirk Schuettemeyer, Magdalena Ardelean, Andreea Calcan, Daniel Constantin, Anja Schönhardt, Koen Meuleman, Andreas Richter, and Michel Van Roozendael
Atmos. Meas. Tech., 12, 211–236, https://doi.org/10.5194/amt-12-211-2019,https://doi.org/10.5194/amt-12-211-2019, 2019
Short summary
Using a speed-dependent Voigt line shape to retrieve O2 from Total Carbon Column Observing Network solar spectra to improve measurements of XCO2
Joseph Mendonca, Kimberly Strong, Debra Wunch, Geoffrey C. Toon, David A. Long, Joseph T. Hodges, Vincent T. Sironneau, and Jonathan E. Franklin
Atmos. Meas. Tech., 12, 35–50, https://doi.org/10.5194/amt-12-35-2019,https://doi.org/10.5194/amt-12-35-2019, 2019
Short summary
Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile
Mengyao Liu, Jintai Lin, K. Folkert Boersma, Gaia Pinardi, Yang Wang, Julien Chimot, Thomas Wagner, Pinhua Xie, Henk Eskes, Michel Van Roozendael, François Hendrick, Pucai Wang, Ting Wang, Yingying Yan, Lulu Chen, and Ruijing Ni
Atmos. Meas. Tech., 12, 1–21, https://doi.org/10.5194/amt-12-1-2019,https://doi.org/10.5194/amt-12-1-2019, 2019
Short summary
BOREAS – a new MAX-DOAS profile retrieval algorithm for aerosols and trace gases
Tim Bösch, Vladimir Rozanov, Andreas Richter, Enno Peters, Alexei Rozanov, Folkard Wittrock, Alexis Merlaud, Johannes Lampel, Stefan Schmitt, Marijn de Haij, Stijn Berkhout, Bas Henzing, Arnoud Apituley, Mirjam den Hoed, Jan Vonk, Martin Tiefengraber, Moritz Müller, and John Philip Burrows
Atmos. Meas. Tech., 11, 6833–6859, https://doi.org/10.5194/amt-11-6833-2018,https://doi.org/10.5194/amt-11-6833-2018, 2018
Short summary
A physics-based approach to oversample multi-satellite, multispecies observations to a common grid
Kang Sun, Lei Zhu, Karen Cady-Pereira, Christopher Chan Miller, Kelly Chance, Lieven Clarisse, Pierre-François Coheur, Gonzalo González Abad, Guanyu Huang, Xiong Liu, Martin Van Damme, Kai Yang, and Mark Zondlo
Atmos. Meas. Tech., 11, 6679–6701, https://doi.org/10.5194/amt-11-6679-2018,https://doi.org/10.5194/amt-11-6679-2018, 2018
Short summary
Improving algorithms and uncertainty estimates for satellite NO2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project
K. Folkert Boersma, Henk J. Eskes, Andreas Richter, Isabelle De Smedt, Alba Lorente, Steffen Beirle, Jos H. G. M. van Geffen, Marina Zara, Enno Peters, Michel Van Roozendael, Thomas Wagner, Joannes D. Maasakkers, Ronald J. van der A, Joanne Nightingale, Anne De Rudder, Hitoshi Irie, Gaia Pinardi, Jean-Christopher Lambert, and Steven C. Compernolle
Atmos. Meas. Tech., 11, 6651–6678, https://doi.org/10.5194/amt-11-6651-2018,https://doi.org/10.5194/amt-11-6651-2018, 2018
Short summary
Cited articles
Albert, P., Bennartz, R., and Fischer, J.: Remote Sensing of Atmospheric Water Vapor from Backscattered Sunlight in Cloudy Atmospheres, J. Atmos. Ocean. Tech., 18, 865, https://doi.org/10.1175/1520-0426(2001)018<0865:RSOAWV>2.0.CO;2, 2001.
Albert, P., Bennartz, R., Preusker, R., Leinweber, R., and Fischer, J.: Remote Sensing of Atmospheric Water Vapor Using the Moderate Resolution Imaging Spectroradiometer, J. Atmos. Ocean. Tech., 22, 309–314, https://doi.org/10.1175/JTECH1708.1, 2005.
Bartsch, B., Bakan, S., and Fischer, J.: Passive remote sensing of the atmospheric water vapour content above land surfaces, Adv. Space Res., 18, 25–28, https://doi.org/10.1016/0273-1177(95)00285-5, 1996.
Bennartz, R. and Fischer, J.: A modified k-distribution approach applied to narrow band water vapour and oxygen absorption estimates in the near infrared, J. Quant. Spectrosc. Ra., 66, 539–553, https://doi.org/10.1016/S0022-4073(99)00184-3, 2000.
Bruegge, C. J., Conel, J. E., Green, R. O., Margolis, J. S., Holm, R. G., and Toon, G.: Water vapor column abundance retrievals during FIFE, J. Geophys. Res., 97, 18759, https://doi.org/10.1029/92JD01050, 1992.
Clough, S. A., Shephard, M. W., Mlawer, E. J., Delamere, J. S., Iacono, M. J., Cady-Pereira, K., Boukabara, S., and Brown, P. D.: Atmospheric radiative transfer modeling: a summary of the AER codes, J. Quant. Spectrosc. Ra., 91, 233–244, https://doi.org/10.1016/j.jqsrt.2004.05.058, 2005.
Diedrich, H., Preusker, R., Lindstrot, R., and Fischer, J.: Quantification of uncertainties of water vapour column retrievals using future instruments, Atmos. Meas. Tech., 6, 359–370, https://doi.org/10.5194/amt-6-359-2013, 2013.
Doppler, L., Carbajal-Henken, C., Pelon, J., Ravetta, F., and Fischer, J.: Extension of radiative transfer code MOMO, matrix-operator model to the thermal infrared – Clear air validation by comparison to RTTOV and application to CALIPSO-IIR, J. Quant. Spectrosc. Ra., 144, 49–67, https://doi.org/10.1016/j.jqsrt.2014.03.028, 2014.
Fell, F. and Fischer, J.: Numerical simulation of the light field in the atmosphere-ocean system using the matrix-operator method, J. Quant. Spectrosc. Ra., 69, 351–388, https://doi.org/10.1016/S0022-4073(00)00089-3, 2001.
Fischer, J. and Grassl, H.: Radiative transfer in an atmosphere-ocean system: an azimuthally dependent matrix-operator approach, Appl. Optics, 23, 1032–1039, https://doi.org/10.1364/AO.23.001032, 1984.
Frankenberg, C., Wunch, D., Toon, G., Risi, C., Scheepmaker, R., Lee, J.-E., Wennberg, P., and Worden, J.: Water vapor isotopologue retrievals from high-resolution GOSAT shortwave infrared spectra, Atmos. Meas. Tech., 6, 263–274, https://doi.org/10.5194/amt-6-263-2013, 2013.
Fraser, R. S., Ferrare, R. A., Kaufman, Y. J., Markham, B. L., and Mattoo, S.: Algorithm for atmospheric corrections of aircraft and satellite imagery, Int. J. Remote Sens., 13, 541–557, https://doi.org/10.1080/01431169208904056, 1992.
Gao, B.-C. and Kaufman, Y. J.: Water vapor retrievals using Moderate Resolution Imaging Spectroradiometer (MODIS) near-infrared channels, J. Geophys. Res.-Atmos., 108, 4389, https://doi.org/10.1117/12.154909, 2003.
Gao, B.-C., Goetz, A. F. H., Westwater, E. R., Conel, J. E., and Green, R. O.: Possible Near-IR Channels for Remote Sensing Precipitable Water Vapor from Geostationary Satellite Platforms, J. Appl. Meteorol., 32, 1791–1801, https://doi.org/10.1175/1520-0450(1993)032<1791:PNICFR>2.0.CO;2, 1993.
GCOS: World Meteorological Organization: Guideline for the Generation of Datasets and Products Meeting GCOS Requirements (GCOS-143), available at: https://www.wmo.int/pages/prog/gcos/Publications/gco s-143.pdf (last access: 16 February 2015), 2010.
Gendt, G., Dick, G., Reigber, C., Tomassini, M., Liu, Y., and Ramatschi, M.: Near Real Time GPS Water Vapor Monitoring for Numerical Weather Prediction in Germany, J.Meteorol. Soc. Jpn, 82, 361–370, 2004.
Hess, M., Koepke, P., and Schult, I.: Optical Properties of Aerosols and Clouds: The Software Package OPAC, B. Am. Meteorol. Soc., 79, 831–844, https://doi.org/10.1175/1520-0477(1998)079<0831:OPOAAC>2.0.CO;2, 1998.
Hollstein, A. and Fischer, J.: Radiative transfer solutions for coupled atmosphere ocean systems using the matrix operator technique, J. Quant. Spectrosc. Ra., 113, 536–548, https://doi.org/10.1016/j.jqsrt.2012.01.010, 2012.
Lindstrot, R. and Preusker, R.: On the efficient treatment of temperature profiles for the estimation of atmospheric transmittance under scattering conditions, Atmos. Meas. Tech., 5, 2525–2535, https://doi.org/10.5194/amt-5-2525-2012, 2012.
Lindstrot, R., Preusker, R., Diedrich, H., Doppler, L., Bennartz, R., and Fischer, J.: 1D-Var retrieval of daytime total columnar water vapour from MERIS measurements, Atmos. Meas. Tech., 5, 631–646, https://doi.org/10.5194/amt-5-631-2012, 2012.
Lindstrot, R., Stengel, M., Schröder, M., Fischer, J., Preusker, R., Schneider, N., Steenbergen, T., and Bojkov, B. R.: A global climatology of total columnar water vapour from SSM/I and MERIS, Earth Syst. Sci. Data, 6, 221–233, https://doi.org/10.5194/essd-6-221-2014, 2014.
McClatchey, R., Fenn, R., Selby, J., Volz, F., and Garing, J.: Optical Properties of the atmosphere, 3rd Edn., Tech. rep., Air Force Cambridge Research Laboratories, 1972.
Miloshevich, L. M., Paukkunen, A., Vömel, H., and Oltmans, S. J.: Development and Validation of a Time-Lag Correction for Vaisala Radiosonde Humidity Measurements, J. Atmos. Ocean. Tech., 21, 1305, https://doi.org/10.1175/1520-0426(2004)021<1305:DAVOAT>2.0.CO;2, 2004.
NCAR: NCAR Global, 2-hourly Ground-Based GPS Precipitable Water, Research Data Archive at the National Center for Atmospheric Research, available at: http://rda.ucar.edu/datasets/ds721.1/ (last access: 16 February 2015), 2011.
Noël, S., Buchwitz, M., Bovensmann, H., and Burrows, J. P.: Retrieval of total water vapour column amounts from GOME/ERS-2 data, Adv. Space Res., 29, 1697–1702, https://doi.org/10.1016/S0273-1177(02)00099-6, 2002.
Pérez-Ramírez, D., Whiteman, D. N., Smirnov, A., Lyamani, H., Holben, B. N., Pinker, R., Andrade, M., and Alados-Arboledas, L.: Evaluation of AERONET precipitable water vapor versus microwave radiometry, GPS, and radiosondes at ARM sites, J. Geophys. Res.-Atmos., 119, 9596–9613, https://doi.org/10.1002/2014JD021730, 2014.
Pougatchev, N., August, T., Calbet, X., Hultberg, T., Oduleye, O., Schlüssel, P., Stiller, B., Germain, K. St., and Bingham, G.: IASI temperature and water vapor retrievals – error assessment and validation, Atmos. Chem. Phys., 9, 6453–6458, https://doi.org/10.5194/acp-9-6453-2009, 2009.
Reagan, J. A., Herman, B. M., Palmer, J. M., and Thomason, L. W.: Assessment of atmospheric limitations on the determination of the solar spectral constant from ground-based spectroradiometer measurements, IEEE T. Geosci. Remote Sens., 24, 258–266, https://doi.org/10.1109/TGRS.1986.289645, 1986.
Rodgers, C.: Inverse Methods for Atmospheric Sounding: Theory and Practice, World Scientific Pub Co., 2000.
Rothman, L. S., Rinsland, C. P., Goldman, A., Massie, S. T., Edwards, D. P., Flaud, J.-M., Perrin, A., Camy-Peyret, C., Dana, V., Mandin, J.-Y., Schroeder, J., McCann, A., Gamache, R. R., Wattson, R. B., Yoshino, K., Chance, K., Jucks, K., Brown, L. R., Nemtchinov, V., and Varanasi, P.: Reprint of: The HITRAN molecular spectroscopic database and HAWKS (HITRAN Atmospheric Workstation): 1996 edition, J. Quant. Spectrosc. Ra., 111, 1568–1613, https://doi.org/10.1016/j.jqsrt.2010.04.019, 2010.
Schluessel, P. and Emery, W. J.: Atmospheric water vapour over oceans from SSM/I measurements, Int. J. Remote Sens., 11, 753–766, https://doi.org/10.1080/01431169008955055, 1990.
Schrijver, H., Gloudemans, A. M. S., Frankenberg, C., and Aben, I.: Water vapour total columns from SCIAMACHY spectra in the 2.36 μm window, Atmos. Meas. Tech., 2, 561–571, https://doi.org/10.5194/amt-2-561-2009, 2009.
Trenberth, K. E., Fasullo, J., and Smith, L.: Trends and variability in column-integrated atmospheric water vapor, Clim. Dynam., 24, 741–758, https://doi.org/10.1007/s00382-005-0017-4, 2005.
Turner, D. D., Lesht, B. M., Clough, S. A., Liljegren, J. C., Revercomb, H. E., and Tobin, D. C.: Dry Bias and Variability in Vaisala RS80-H Radiosondes: The ARM Experience, J. Atmos. Ocean. Tech., 20, 117–132, https://doi.org/10.1175/1520-0426(2003)020<0117:DBAVIV>2.0.CO;2, 2003.
Turner, D. D., Clough, S. A., Liljegren, J. C., Clothiaux, E. E., Cady-Pereira, K. E., and Gaustad, K. L.: Retrieving Liquid Water Path and Precipitable Water Vapor From the Atmospheric Radiation Measurement (ARM) Microwave Radiometers, IEEE T. Geosci. Remote Sens., 45, 3680–3690, https://doi.org/10.1109/TGRS.2007.903703, 2007.
US Geological Survey: Global 30 Arc-Second Elevation Data Set, available at: https://lta.cr.usgs.gov/sites/default/files/GTOPO30_README.doc (last access: 16 February 2015), 1996.
Wagner, T., Beirle, S., Grzegorski, M., and Platt, U.: Global trends (1996–2003) of total column precipitable water observed by Global Ozone Monitoring Experiment (GOME) on ERS-2 and their relation to near-surface temperature, J. Geophys. Res.-Atmos., 111, D12102, https://doi.org/10.1029/2005JD006523, 2006.
Wagner, T., Beirle, S., Sihler, H., and Mies, K.: A feasibility study for the retrieval of the total column precipitable water vapour from satellite observations in the blue spectral range, Atmos. Meas. Tech., 6, 2593–2605, https://doi.org/10.5194/amt-6-2593-2013, 2013.
Wang, J., Zhang, L., Dai, A., van Hove, T., and van Baelen, J.: A near-global, 2-hourly data set of atmospheric precipitable water from ground-based GPS measurements, J. Geophys. Res.-Atmos., 112, D11107, https://doi.org/10.1029/2006JD007529, 2007.
Wiegele, A., Schneider, M., Hase, F., Barthlott, S., García, O. E., Sepúlveda, E., González, Y., Blumenstock, T., Raffalski, U., Gisi, M., and Kohlhepp, R.: The MUSICA MetOp/IASI H
2O and δD products: characterisation and long-term comparison to NDACC/FTIR data, Atmos. Meas. Tech., 7, 2719–2732, https://doi.org/10.5194/amt-7-2719-2014, 2014.
Wiscombe, W. J.: Improved Mie scattering algorithms, Appl. Optics, 19, 1505–1509, https://doi.org/10.1364/AO.19.001505, 1980.
Xie, Y., Xiong, X., Qu, J. J., and Che, N.: Uncertainty analysis of Terra MODIS on-orbit spectral characterization, in: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 6296 of Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, https://doi.org/10.1117/12.680766, 2006.