Articles | Volume 10, issue 22
https://doi.org/10.5194/acp-10-11131-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-10-11131-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
25 Nov 2010
Assessment of the calibration performance of satellite visible channels using cloud targets: application to Meteosat-8/9 and MTSAT-1R
S.-H. Ham
School of Earth and Environmental Sciences, Seoul National University, Seoul, 151-747, Korea
B. J. Sohn
School of Earth and Environmental Sciences, Seoul National University, Seoul, 151-747, Korea
Related subject area
Subject: Radiation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Record-breaking statistics detect islands of cooling in a sea of warming
Radiative closure and cloud effects on the radiation budget based on satellite and shipborne observations during the Arctic summer research cruise, PS106
Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic
Longwave radiative effect of the cloud–aerosol transition zone based on CERES observations
Ice and mixed-phase cloud statistics on the Antarctic Plateau
Photovoltaic power potential in West Africa using long-term satellite data
A semi-empirical potential energy surface and line list for H216O extending into the near-ultraviolet
Global distribution and 14-year changes in erythemal irradiance, UV atmospheric transmission, and total column ozone for2005–2018 estimated from OMI and EPIC observations
Biomass-burning-induced surface darkening and its impact on regional meteorology in eastern China
Air pollution slows down surface warming over the Tibetan Plateau
Estimation of hourly land surface heat fluxes over the Tibetan Plateau by the combined use of geostationary and polar-orbiting satellites
Estimations of global shortwave direct aerosol radiative effects above opaque water clouds using a combination of A-Train satellite sensors
Uncertainty of atmospheric microwave absorption model: impact on ground-based radiometer simulations and retrievals
Simulated and observed horizontal inhomogeneities of optical thickness of Arctic stratus
Net radiative effects of dust in the tropical North Atlantic based on integrated satellite observations and in situ measurements
Comparison of global observations and trends of total precipitable water derived from microwave radiometers and COSMIC radio occultation from 2006 to 2013
Characterizing energy budget variability at a Sahelian site: a test of NWP model behaviour
Scale dependence of cirrus horizontal heterogeneity effects on TOA measurements – Part I: MODIS brightness temperatures in the thermal infrared
Aerosol scattering effects on water vapor retrievals over the Los Angeles Basin
Directional, horizontal inhomogeneities of cloud optical thickness fields retrieved from ground-based and airbornespectral imaging
Airborne observations of far-infrared upwelling radiance in the Arctic
Retrieval of aerosol optical depth from surface solar radiation measurements using machine learning algorithms, non-linear regression and a radiative transfer-based look-up table
Microwave signatures of ice hydrometeors from ground-based observations above Summit, Greenland
Shortwave direct radiative effects of above-cloud aerosols over global oceans derived from 8 years of CALIOP and MODIS observations
Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data
Instantaneous longwave radiative impact of ozone: an application on IASI/MetOp observations
A method to retrieve super-thin cloud optical depth over ocean background with polarized sunlight
Airborne observations and simulations of three-dimensional radiative interactions between Arctic boundary layer clouds and ice floes
Deriving polarization properties of desert-reflected solar spectra with PARASOL data
Using IASI to simulate the total spectrum of outgoing long-wave radiances
Investigation of the "elevated heat pump" hypothesis of the Asian monsoon using satellite observations
Improved retrieval of direct and diffuse downwelling surface shortwave flux in cloudless atmosphere using dynamic estimates of aerosol content and type: application to the LSA-SAF project
Surface-sensible and latent heat fluxes over the Tibetan Plateau from ground measurements, reanalysis, and satellite data
Influence of local surface albedo variability and ice crystal shape on passive remote sensing of thin cirrus
Combining MODIS, AVHRR and in situ data for evapotranspiration estimation over heterogeneous landscape of the Tibetan Plateau
Modeling polarized solar radiation from the ocean–atmosphere system for CLARREO inter-calibration applications
HIRS channel 12 brightness temperature dataset and its correlations with major climate indices
Performance of the Line-By-Line Radiative Transfer Model (LBLRTM) for temperature, water vapor, and trace gas retrievals: recent updates evaluated with IASI case studies
Multi-satellite aerosol observations in the vicinity of clouds
CLARA-SAL: a global 28 yr timeseries of Earth's black-sky surface albedo
Quantitative comparison of the variability in observed and simulated shortwave reflectance
Regional radiative impact of volcanic aerosol from the 2009 eruption of Mt. Redoubt
Airborne hyperspectral observations of surface and cloud directional reflectivity using a commercial digital camera
Direct and semi-direct radiative forcing of smoke aerosols over clouds
Validity of satellite measurements used for the monitoring of UV radiation risk on health
Statistics of vertical backscatter profiles of cirrus clouds
Using surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACE
Determination of land surface heat fluxes over heterogeneous landscape of the Tibetan Plateau by using the MODIS and in situ data
Cirrus cloud-temperature interactions in the tropical tropopause layer: a case study
Characteristics of water-vapour inversions observed over the Arctic by Atmospheric Infrared Sounder (AIRS) and radiosondes
Elisa T. Sena, Ilan Koren, Orit Altaratz, and Alexander B. Kostinski
Atmos. Chem. Phys., 22, 16111–16122, https://doi.org/10.5194/acp-22-16111-2022, https://doi.org/10.5194/acp-22-16111-2022, 2022
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We used record-breaking statistics together with spatial information to create record-breaking SST maps. The maps reveal warming patterns in the overwhelming majority of the ocean and coherent islands of cooling, where low records occur more frequently than high ones. Some of these cooling spots are well known; however, a surprising elliptical area in the Southern Ocean is observed as well. Similar analyses can be performed on other key climatological variables to explore their trend patterns.
Carola Barrientos-Velasco, Hartwig Deneke, Anja Hünerbein, Hannes J. Griesche, Patric Seifert, and Andreas Macke
Atmos. Chem. Phys., 22, 9313–9348, https://doi.org/10.5194/acp-22-9313-2022, https://doi.org/10.5194/acp-22-9313-2022, 2022
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This article describes an intercomparison of radiative fluxes and cloud properties from satellite, shipborne observations, and 1D radiative transfer simulations. The analysis focuses on research for PS106 expedition aboard the German research vessel, Polarstern. The results are presented in detailed case studies, time series for the PS106 cruise and extended to the central Arctic region. The findings illustrate the main periods of agreement and discrepancies of both points of view.
Yinghui Liu
Atmos. Chem. Phys., 22, 8151–8173, https://doi.org/10.5194/acp-22-8151-2022, https://doi.org/10.5194/acp-22-8151-2022, 2022
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Cloud detection from state-of-art satellite radar and lidar misses low-level clouds. Using in situ observations, this study confirms this cloud detection limitation over the Arctic Ocean. Impacts of this detection limitation from combined satellite radar and lidar on the monthly mean radiation flux estimations at the surface and at the top of the atmosphere in the Arctic are limited but larger from only satellite radar or satellite lidar in monthly mean and instantaneous values.
Babak Jahani, Hendrik Andersen, Josep Calbó, Josep-Abel González, and Jan Cermak
Atmos. Chem. Phys., 22, 1483–1494, https://doi.org/10.5194/acp-22-1483-2022, https://doi.org/10.5194/acp-22-1483-2022, 2022
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The change in the state of sky from cloudy to cloudless (or vice versa) comprises an additional phase called
transition zonewith characteristics laying between those of aerosols and clouds. This study presents an approach for the quantification of the broadband longwave radiative effects of the cloud–aerosol transition zone at the top of the atmosphere during daytime over the ocean based on satellite observations and radiative transfer simulations.
William Cossich, Tiziano Maestri, Davide Magurno, Michele Martinazzo, Gianluca Di Natale, Luca Palchetti, Giovanni Bianchini, and Massimo Del Guasta
Atmos. Chem. Phys., 21, 13811–13833, https://doi.org/10.5194/acp-21-13811-2021, https://doi.org/10.5194/acp-21-13811-2021, 2021
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The presence of clouds over Concordia, in the Antarctic Plateau, is investigated. Results are obtained by applying a machine learning algorithm to measurements of the infrared radiation emitted by the atmosphere toward the surface. The clear-sky, ice cloud, and mixed-phase cloud occurrence at different timescales is studied. A comparison with satellite measurements highlights the ability of the algorithm to identify multiple cloud conditions and study their variability at different timescales.
Ina Neher, Susanne Crewell, Stefanie Meilinger, Uwe Pfeifroth, and Jörg Trentmann
Atmos. Chem. Phys., 20, 12871–12888, https://doi.org/10.5194/acp-20-12871-2020, https://doi.org/10.5194/acp-20-12871-2020, 2020
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Photovoltaic power is one current option to meet the rising energy demand with low environmental impact. Global horizontal irradiance (GHI) is the fuel for photovoltaic power installations and needs to be evaluated to plan and dimension power plants. In this study, 35 years of satellite-based GHI data are analyzed over West Africa to determine their impact on photovoltaic power generation. The major challenges for the development of a solar-based power system in West Africa are then outlined.
Eamon K. Conway, Iouli E. Gordon, Jonathan Tennyson, Oleg L. Polyansky, Sergei N. Yurchenko, and Kelly Chance
Atmos. Chem. Phys., 20, 10015–10027, https://doi.org/10.5194/acp-20-10015-2020, https://doi.org/10.5194/acp-20-10015-2020, 2020
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Water vapour has a complex spectrum and absorbs from the microwave to the near-UV where it dissociates. There is limited knowledge of the absorption features in the near-UV, and there is a large disagreement for the available models and experiments. We created a new ab initio model that is in good agreement with observation at 363 nm. At lower wavelengths, our calculations suggest that the latest experiments overestimate absorption. This has implications for trace gas retrievals in the near-UV.
Jay Herman, Alexander Cede, Liang Huang, Jerald Ziemke, Omar Torres, Nickolay Krotkov, Matthew Kowalewski, and Karin Blank
Atmos. Chem. Phys., 20, 8351–8380, https://doi.org/10.5194/acp-20-8351-2020, https://doi.org/10.5194/acp-20-8351-2020, 2020
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The amount of erythemal irradiance reaching the Earth's surface has been calculated from ozone, aerosol, and reflectivity data obtained from OMI and DSCOVR/EPIC satellite instruments showing areas with high levels of solar UV radiation. Changes in erythemal irradiance, cloud transmission, aerosol transmission, and ozone absorption have been estimated for 14 years 2005–2018 in units of percent per year for 191 locations, mostly large cities, and from EPIC for the entire illuminated Earth.
Rong Tang, Xin Huang, Derong Zhou, and Aijun Ding
Atmos. Chem. Phys., 20, 6177–6191, https://doi.org/10.5194/acp-20-6177-2020, https://doi.org/10.5194/acp-20-6177-2020, 2020
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Biomass-burning-induced large areas of dark char (i.e.
surface darkening) could influence the radiative energy balance. During the harvest season in eastern China, satellite retrieval shows that surface albedo was significantly decreased. Observational evidence of meteorological perturbations from the surface darkening is identified, which is further examined by model simulation. This work highlights the importance of burning-induced albedo change in weather forecast and regional climate.
Aolin Jia, Shunlin Liang, Dongdong Wang, Bo Jiang, and Xiaotong Zhang
Atmos. Chem. Phys., 20, 881–899, https://doi.org/10.5194/acp-20-881-2020, https://doi.org/10.5194/acp-20-881-2020, 2020
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The Tibetan Plateau (TP) plays a vital role in regional and global climate change due to its location and orography. After generating a long-term surface radiation (SR) dataset, we characterized the SR spatiotemporal variation along with temperature. Evidence from multiple data sources indicated that the TP dimming was primarily driven by increased aerosols from human activities, and the cooling effect of aerosol loading offsets TP surface warming, revealing the human impact on regional warming.
Lei Zhong, Yaoming Ma, Zeyong Hu, Yunfei Fu, Yuanyuan Hu, Xian Wang, Meilin Cheng, and Nan Ge
Atmos. Chem. Phys., 19, 5529–5541, https://doi.org/10.5194/acp-19-5529-2019, https://doi.org/10.5194/acp-19-5529-2019, 2019
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Fine-temporal-resolution turbulent heat fluxes at the plateau scale have significant importance for studying diurnal variation characteristics of atmospheric boundary and weather systems in the Tibetan Plateau (TP) and its surroundings. Time series of land surface heat fluxes with high temporal resolution over the entire TP were derived. The derived surface heat fluxes proved to be in good agreement with in situ measurements and were superior to GLDAS flux products.
Meloë S. Kacenelenbogen, Mark A. Vaughan, Jens Redemann, Stuart A. Young, Zhaoyan Liu, Yongxiang Hu, Ali H. Omar, Samuel LeBlanc, Yohei Shinozuka, John Livingston, Qin Zhang, and Kathleen A. Powell
Atmos. Chem. Phys., 19, 4933–4962, https://doi.org/10.5194/acp-19-4933-2019, https://doi.org/10.5194/acp-19-4933-2019, 2019
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Significant efforts are required to estimate the direct radiative effects of aerosols above clouds (DAREcloudy). We have used a combination of passive and active A-Train satellite sensors and derive mainly positive global and regional DAREcloudy values (e.g., global seasonal values between 0.13 and 0.26 W m-2). Despite differences in methods and sensors, the DAREcloudy values in this study are generally higher than previously reported. We discuss the primary reasons for these higher estimates.
Domenico Cimini, Philip W. Rosenkranz, Mikhail Y. Tretyakov, Maksim A. Koshelev, and Filomena Romano
Atmos. Chem. Phys., 18, 15231–15259, https://doi.org/10.5194/acp-18-15231-2018, https://doi.org/10.5194/acp-18-15231-2018, 2018
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The paper presents a general approach to quantify the uncertainty related to atmospheric absorption models. These models describe how the atmosphere interacts with radiation, and they have general implications for atmospheric sciences.
The presented approach contributes to a better understanding of the total uncertainty affecting atmospheric radiative properties, thus reducing the chances of systematic errors when observations are exploited for weather forecast or climate trend derivations.
Michael Schäfer, Katharina Loewe, André Ehrlich, Corinna Hoose, and Manfred Wendisch
Atmos. Chem. Phys., 18, 13115–13133, https://doi.org/10.5194/acp-18-13115-2018, https://doi.org/10.5194/acp-18-13115-2018, 2018
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Airborne observed horizontal fields of cloud optical thickness are compared with semi-idealized large eddy simulations of Arctic stratus. The comparison focuses on horizontal cloud inhomogeneities and directional features of the small-scale cloud structures. Using inhomogeneity parameters and autocorrelation analysis it is investigated, if the observed small-scale cloud inhomogeneities can be represented by the model. Forcings for cloud inhomogeneities are investigated in a sensitivity study.
Qianqian Song, Zhibo Zhang, Hongbin Yu, Seiji Kato, Ping Yang, Peter Colarco, Lorraine A. Remer, and Claire L. Ryder
Atmos. Chem. Phys., 18, 11303–11322, https://doi.org/10.5194/acp-18-11303-2018, https://doi.org/10.5194/acp-18-11303-2018, 2018
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Mineral dust is the most abundant atmospheric aerosol component in terms of dry mass. In this study, we integrate recent aircraft measurements of dust microphysical and optical properties with satellite retrievals of aerosol and radiative fluxes to quantify the dust direct radiative effects on the shortwave and longwave radiation at both the top of the atmosphere and the surface in the tropical North Atlantic during summer months.
Shu-Peng Ho, Liang Peng, Carl Mears, and Richard A. Anthes
Atmos. Chem. Phys., 18, 259–274, https://doi.org/10.5194/acp-18-259-2018, https://doi.org/10.5194/acp-18-259-2018, 2018
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In this study, we compare 7 years of atmospheric total precipitable water (TPW) derived from multiple microwave radiometers to collocated TPW estimates derived from COSMIC radio occultation under various atmospheric conditions over the oceans. Results show that these two TPW trends from independent observations are larger than previous estimates and are a strong indication of the positive water vapor–temperature feedback on a warming planet.
Anna Mackie, Paul I. Palmer, and Helen Brindley
Atmos. Chem. Phys., 17, 15095–15119, https://doi.org/10.5194/acp-17-15095-2017, https://doi.org/10.5194/acp-17-15095-2017, 2017
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We compare the balance of solar and thermal radiation at the surface and the top of the atmosphere from a forecasting model to observations at a site in Niamey, Niger, in the Sahel. To interpret the energy budgets we examine other factors, such as cloud properties, water vapour and aerosols, which we use to understand the differences between the observation and model. We find that some differences are linked to lack of ice in clouds, underestimated aerosol loading and surface temperatures.
Thomas Fauchez, Steven Platnick, Kerry Meyer, Céline Cornet, Frédéric Szczap, and Tamás Várnai
Atmos. Chem. Phys., 17, 8489–8508, https://doi.org/10.5194/acp-17-8489-2017, https://doi.org/10.5194/acp-17-8489-2017, 2017
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This study presents impact of cirrus cloud horizontal heterogeneity on simulated thermal infrared brightness temperatures at the top of the atmosphere for spatial resolutions ranging from 50 m to 10 km. The cirrus is generated by the 3DCLOUD code and the radiative transfer by the 3DMCPOL code. Brightness temperatures are mostly impacted by the horizontal transport effect and plane-parallel bias at high and coarse spatial resolutions, respectively, with a minimum around 100 m–250 m.
Zhao-Cheng Zeng, Qiong Zhang, Vijay Natraj, Jack S. Margolis, Run-Lie Shia, Sally Newman, Dejian Fu, Thomas J. Pongetti, Kam W. Wong, Stanley P. Sander, Paul O. Wennberg, and Yuk L. Yung
Atmos. Chem. Phys., 17, 2495–2508, https://doi.org/10.5194/acp-17-2495-2017, https://doi.org/10.5194/acp-17-2495-2017, 2017
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We propose a novel approach to describing the scattering effects of atmospheric aerosols using H2O retrievals in the near infrared. We found that the aerosol scattering effect is the primary contributor to the variations in the wavelength dependence of the H2O SCD retrievals and the scattering effects can be derived using H2O retrievals from multiple bands. This proposed method could potentially contribute towards reducing biases in greenhouse gas retrievals from space.
Michael Schäfer, Eike Bierwirth, André Ehrlich, Evelyn Jäkel, Frank Werner, and Manfred Wendisch
Atmos. Chem. Phys., 17, 2359–2372, https://doi.org/10.5194/acp-17-2359-2017, https://doi.org/10.5194/acp-17-2359-2017, 2017
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Cloud optical thickness fields, retrieved from solar spectral radiance measurements, are used to investigate the directional structure of horizontal cloud inhomogeneities with scalar one-dimensional inhomogeneity parameters, two-dimensional auto-correlation functions, and two-dimensional Fourier analysis. The investigations reveal that it is not sufficient to quantify horizontal cloud inhomogeneities by one-dimensional inhomogeneity parameters; two-dimensional parameters are necessary.
Quentin Libois, Liviu Ivanescu, Jean-Pierre Blanchet, Hannes Schulz, Heiko Bozem, W. Richard Leaitch, Julia Burkart, Jonathan P. D. Abbatt, Andreas B. Herber, Amir A. Aliabadi, and Éric Girard
Atmos. Chem. Phys., 16, 15689–15707, https://doi.org/10.5194/acp-16-15689-2016, https://doi.org/10.5194/acp-16-15689-2016, 2016
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The first airborne measurements performed with the FIRR are presented. Vertical profiles of upwelling spectral radiance in the far-infrared are measured in the Arctic atmosphere for the first time. They show the impact of the temperature inversion on the radiative budget of the atmosphere, especially in the far-infrared. The presence of ice clouds also significantly alters the far-infrared budget, highlighting the critical interplay between water vapour and clouds in this very dry region.
Jani Huttunen, Harri Kokkola, Tero Mielonen, Mika Esa Juhani Mononen, Antti Lipponen, Juha Reunanen, Anders Vilhelm Lindfors, Santtu Mikkonen, Kari Erkki Juhani Lehtinen, Natalia Kouremeti, Alkiviadis Bais, Harri Niska, and Antti Arola
Atmos. Chem. Phys., 16, 8181–8191, https://doi.org/10.5194/acp-16-8181-2016, https://doi.org/10.5194/acp-16-8181-2016, 2016
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For a good estimate of the current forcing by anthropogenic aerosols, knowledge in past is needed. One option to lengthen time series is to retrieve aerosol optical depth from solar radiation measurements. We have evaluated several methods for this task. Most of the methods produce aerosol optical depth estimates with a good accuracy. However, machine learning methods seem to be the most applicable not to produce any systematic biases, since they do not need constrain the aerosol properties.
Claire Pettersen, Ralf Bennartz, Mark S. Kulie, Aronne J. Merrelli, Matthew D. Shupe, and David D. Turner
Atmos. Chem. Phys., 16, 4743–4756, https://doi.org/10.5194/acp-16-4743-2016, https://doi.org/10.5194/acp-16-4743-2016, 2016
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We examined four summers of data from a ground-based atmospheric science instrument suite at Summit Station, Greenland, to isolate the signature of the ice precipitation. By using a combination of instruments with different specialities, we identified a passive microwave signature of the ice precipitation. This ice signature compares well to models using synthetic data characteristic of the site.
Zhibo Zhang, Kerry Meyer, Hongbin Yu, Steven Platnick, Peter Colarco, Zhaoyan Liu, and Lazaros Oreopoulos
Atmos. Chem. Phys., 16, 2877–2900, https://doi.org/10.5194/acp-16-2877-2016, https://doi.org/10.5194/acp-16-2877-2016, 2016
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The frequency of occurrence and shortwave direct radiative effects (DRE) of above-cloud aerosols (ACAs) over global oceans are investigated using 8 years of collocated CALIOP and MODIS observations. We estimated that ACAs have a global ocean annual mean diurnally averaged cloudy-sky DRE of 0.015 W m−2 (range of −0.03 to 0.06 W m−2) at TOA. The DREs at surface and within atmosphere are −0.15 W m−2 (range of −0.09 to −0.21 W m−2), and 0.17 W m−2 (range of 0.11 to 0.24 W m−2), respectively.
Wenjun Tang, Jun Qin, Kun Yang, Shaomin Liu, Ning Lu, and Xiaolei Niu
Atmos. Chem. Phys., 16, 2543–2557, https://doi.org/10.5194/acp-16-2543-2016, https://doi.org/10.5194/acp-16-2543-2016, 2016
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In this paper, we develop a new method to quickly retrieve high-resolution surface solar radiation (SSR) over China by combining MODIS and MTSAT data. The RMSEs of the retrieved SSR at hourly, daily, and monthly scales are about 98.5, 34.2, and 22.1 W m−2. The accuracy is comparable to or even higher than other two satellite radiation products. Finally, we derive an 8-year high-resolution SSR data set (hourly, 5 km) from 2007 to 2014, which would contribute to studies of land surface processes.
S. Doniki, D. Hurtmans, L. Clarisse, C. Clerbaux, H. M. Worden, K. W. Bowman, and P.-F. Coheur
Atmos. Chem. Phys., 15, 12971–12987, https://doi.org/10.5194/acp-15-12971-2015, https://doi.org/10.5194/acp-15-12971-2015, 2015
W. Sun, R. R. Baize, G. Videen, Y. Hu, and Q. Fu
Atmos. Chem. Phys., 15, 11909–11918, https://doi.org/10.5194/acp-15-11909-2015, https://doi.org/10.5194/acp-15-11909-2015, 2015
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A method is reported for retrieving super-thin cloud optical depth with polarized light. It is found that near-backscatter p-polarized light is sensitive to clouds, but not to ocean conditions. Near-backscatter p-polarized intensity linearly relates to super-thin cloud optical depth. Based on these findings, super-thin cloud optical depth can be retrieved with little effect from surface reflection.
M. Schäfer, E. Bierwirth, A. Ehrlich, E. Jäkel, and M. Wendisch
Atmos. Chem. Phys., 15, 8147–8163, https://doi.org/10.5194/acp-15-8147-2015, https://doi.org/10.5194/acp-15-8147-2015, 2015
W. Sun, R. R. Baize, C. Lukashin, and Y. Hu
Atmos. Chem. Phys., 15, 7725–7734, https://doi.org/10.5194/acp-15-7725-2015, https://doi.org/10.5194/acp-15-7725-2015, 2015
E. C. Turner, H.-T. Lee, and S. F. B. Tett
Atmos. Chem. Phys., 15, 6561–6575, https://doi.org/10.5194/acp-15-6561-2015, https://doi.org/10.5194/acp-15-6561-2015, 2015
M. M. Wonsick, R. T. Pinker, and Y. Ma
Atmos. Chem. Phys., 14, 8749–8761, https://doi.org/10.5194/acp-14-8749-2014, https://doi.org/10.5194/acp-14-8749-2014, 2014
X. Ceamanos, D. Carrer, and J.-L. Roujean
Atmos. Chem. Phys., 14, 8209–8232, https://doi.org/10.5194/acp-14-8209-2014, https://doi.org/10.5194/acp-14-8209-2014, 2014
Q. Shi and S. Liang
Atmos. Chem. Phys., 14, 5659–5677, https://doi.org/10.5194/acp-14-5659-2014, https://doi.org/10.5194/acp-14-5659-2014, 2014
C. Fricke, A. Ehrlich, E. Jäkel, B. Bohn, M. Wirth, and M. Wendisch
Atmos. Chem. Phys., 14, 1943–1958, https://doi.org/10.5194/acp-14-1943-2014, https://doi.org/10.5194/acp-14-1943-2014, 2014
Y. Ma, Z. Zhu, L. Zhong, B. Wang, C. Han, Z. Wang, Y. Wang, L. Lu, P. M. Amatya, W. Ma, and Z. Hu
Atmos. Chem. Phys., 14, 1507–1515, https://doi.org/10.5194/acp-14-1507-2014, https://doi.org/10.5194/acp-14-1507-2014, 2014
W. Sun and C. Lukashin
Atmos. Chem. Phys., 13, 10303–10324, https://doi.org/10.5194/acp-13-10303-2013, https://doi.org/10.5194/acp-13-10303-2013, 2013
L. Shi, C. J. Schreck III, and V. O. John
Atmos. Chem. Phys., 13, 6907–6920, https://doi.org/10.5194/acp-13-6907-2013, https://doi.org/10.5194/acp-13-6907-2013, 2013
M. J. Alvarado, V. H. Payne, E. J. Mlawer, G. Uymin, M. W. Shephard, K. E. Cady-Pereira, J. S. Delamere, and J.-L. Moncet
Atmos. Chem. Phys., 13, 6687–6711, https://doi.org/10.5194/acp-13-6687-2013, https://doi.org/10.5194/acp-13-6687-2013, 2013
T. Várnai, A. Marshak, and W. Yang
Atmos. Chem. Phys., 13, 3899–3908, https://doi.org/10.5194/acp-13-3899-2013, https://doi.org/10.5194/acp-13-3899-2013, 2013
A. Riihelä, T. Manninen, V. Laine, K. Andersson, and F. Kaspar
Atmos. Chem. Phys., 13, 3743–3762, https://doi.org/10.5194/acp-13-3743-2013, https://doi.org/10.5194/acp-13-3743-2013, 2013
Y. L. Roberts, P. Pilewskie, B. C. Kindel, D. R. Feldman, and W. D. Collins
Atmos. Chem. Phys., 13, 3133–3147, https://doi.org/10.5194/acp-13-3133-2013, https://doi.org/10.5194/acp-13-3133-2013, 2013
C. L. Young, I. N. Sokolik, and J. Dufek
Atmos. Chem. Phys., 12, 3699–3715, https://doi.org/10.5194/acp-12-3699-2012, https://doi.org/10.5194/acp-12-3699-2012, 2012
A. Ehrlich, E. Bierwirth, M. Wendisch, A. Herber, and J.-F. Gayet
Atmos. Chem. Phys., 12, 3493–3510, https://doi.org/10.5194/acp-12-3493-2012, https://doi.org/10.5194/acp-12-3493-2012, 2012
E. M. Wilcox
Atmos. Chem. Phys., 12, 139–149, https://doi.org/10.5194/acp-12-139-2012, https://doi.org/10.5194/acp-12-139-2012, 2012
F. Jégou, S. Godin-Beekman, M. P. Corrêa, C. Brogniez, F. Auriol, V. H. Peuch, M. Haeffelin, A. Pazmino, P. Saiag, F. Goutail, and E. Mahé
Atmos. Chem. Phys., 11, 13377–13394, https://doi.org/10.5194/acp-11-13377-2011, https://doi.org/10.5194/acp-11-13377-2011, 2011
P. Veglio and T. Maestri
Atmos. Chem. Phys., 11, 12925–12943, https://doi.org/10.5194/acp-11-12925-2011, https://doi.org/10.5194/acp-11-12925-2011, 2011
G. de Boer, W. D. Collins, S. Menon, and C. N. Long
Atmos. Chem. Phys., 11, 11937–11949, https://doi.org/10.5194/acp-11-11937-2011, https://doi.org/10.5194/acp-11-11937-2011, 2011
Y. Ma, L. Zhong, B. Wang, W. Ma, X. Chen, and M. Li
Atmos. Chem. Phys., 11, 10461–10469, https://doi.org/10.5194/acp-11-10461-2011, https://doi.org/10.5194/acp-11-10461-2011, 2011
J. R. Taylor, W. J. Randel, and E. J. Jensen
Atmos. Chem. Phys., 11, 10085–10095, https://doi.org/10.5194/acp-11-10085-2011, https://doi.org/10.5194/acp-11-10085-2011, 2011
A. Devasthale, J. Sedlar, and M. Tjernström
Atmos. Chem. Phys., 11, 9813–9823, https://doi.org/10.5194/acp-11-9813-2011, https://doi.org/10.5194/acp-11-9813-2011, 2011
Cited articles
Arriaga, A. and Schmetz, J.: Calibration of the Meteosat-5/-6 VIS Channels with help of modeled Radiances, Contrib. Atmos. Physics, 72, 133–139, 1999.
Barker, H. W.: A parameterization for computing grid-averaged solar fluxes for inhomogeneous marine boundary layer clouds. Part I: Methodology and homogeneous biases, J. Atmos. Sci., 53, 2289–2303, 1996.
Barnes, W. L., Pagano, T. S., and Salomonson, V. V.: Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1, IEEE T. Geosci. Remote S., 36, 1088–1100, 1998.
Barnes, R. A., Barnes, W. L., Lyu, C.-H., and Gales, J. M.: An overview of the visible and infrared scanner radiometric calibration algorithm, J. Atmos. Oceanic Tech., 17, 395–405, 2000.
Baum, B. A., Heymsfield, A. J., Yang, P., and Bedka, S. T.: Bulk scattering properties for the remote sensing of ice clouds. Part I: Microphysical data and models, J. Appl. Meteorol., 44, 1885–1895, 2005a.
Baum, B. A., Yang, P., Heymsfield, A. J., Platnick, S., King, M. D., Hu, Y.-X., and Bedka, S. T: Bulk scattering properties for the remote sensing of ice clouds. Part II: Narrowband models, J. Appl. Meteorol., 44, 1896–1911, 2005b.
Baum, B. A., Yang, P., Nasiri, S, Heidinger, A. K., Heymsfield, A. J., and Li, J.: Bulk scattering properties for the remote sensing of ice clouds. Part III: High resolution spectral models from 100 to 3250 cm−1, J. Appl. Meteorol. Clim., 46, 423–434, 2007.
Bruegge, C. J., Duval, V. G., Chrien, N. L., Korechoff, R. P., Gaitley, B. J., and Hochberg, E. B.: MISR prelaunch instrument calibration and characterization results, IEEE T. Geosci. Remote S., 36, 1186–1198, 1998.
Cahalan, R. F., Ridgway, W., Wiscombe, W. J., Bell, T. L., and Snider, J. B.: The albedo of fractal stratocumulus clouds, J. Atmos. Sci., 51, 2434–2455, 1994a.
Cahalan, R. F., Ridgway, W., Wiscombe, W. J., Gollmer, S., and Harshvardhan: Independent pixel and Monte Carlo estimates of stratocumulus albedo, J. Atmos. Sci., 51, 3776–3790, 1994b.
Calin, B., Fu, Q., Lohmann, U., Mace, G. G., Sassen, K., and Comstock, J. M.: High-cloud horizontal inhomogeneity and solar albedo bias, J. Climate, 15, 2321–2339, 2002.
Chung, E.-S., Sohn, B. J., and Schmetz, J.: CloudSat shedding new light on high-reaching tropical deep convection observed with Meteosat, Geophys. Res. Lett., 35, L02814, https://doi.org/10.1029/2007GL032516, 2008.
Deneke, H. M. and Roebling, R.: Downscaling of METEOSAT SEVIRI 0.6 and 0.8 micron channel radiances utilizing the high-resolution visible channel, Atmos. Chem. Phys. Discuss., 10, 10707–10740, https://doi.org/10.5194/acp-10-10707-2010, 2010.
Doelling, D., Nguyen, L., and Minnis, P.: Calibration comparisons between SEVIRI, MODIS, and GOES data, EUMETSAT Meteorological Satellite Conference, Prague, Czech Republic, 77–83, 2004.
Fraser, R. S. and Kaufman, Y. J.: Calibration of satellite sensors after launch, Appl. Opt., 25, 1177–1185, 1986.
Govaerts, Y. M. and Clerici, M.: Evaluation of radiative transfer simulations over bright desert calibration sites, IEEE T. Geosci. Remote S., 42, 176–187, 2004.
Govaerts, Y. M., Arriaga, A., and Schmetz, J.: Operational vicarious calibration of the MSG/SEVIRI solar channels, Adv. Space. Res., 28, 21–30, https://doi.org/10.1016/S0273-1177(01)00269-1, 2001.
Govaerts, Y. M., Clerici, M., and Clerbaux, N.: Operational calibration of the Meteosat radiometer VIS band, IEEE T. Geosci. Remote S., 42, 1900–1914, 2004.
Govaerts, Y. M., Wagner, S., Clerici, M.: SEVIRI native format pre-processing toolbox user's guide, Issue: SPT Version 2.4, No: EUM/OPS-MSG/TEN/03/0011, EUMETSAT, Darmstadt, Germany, 2006.
Ham, S.-H., Sohn, B. J., Yang, P., and Baum, B. A.: Assessment of the quality of MODIS cloud products from radiance simulations, J. Appl. Meteorol. Clim., 48, 1591–1612, 2009.
Heidinger, A. K., Cao, C., and Sullivan, J. T.: Using Moderate Resolution Imaging Spectrometer (MODIS) to calibrate advanced very high resolution radiometer reflectance channels, J. Geophys. Res., 107, 4702, https://doi.org/10.1029/2001JD002035, 2002.
Heymsfield, A. J., Bansemer, A., Field, P. R., Durden, S. L., Stith, J. L., Dye, J. E., Hall, W., and Grainger, C. A.: Observations and parameterizations of particle size distributions in deep tropical cirrus and stratiform precipitating clouds: Results from in situ observations in TRMM field campaigns, J. Atmos. Sci., 59, 3457–3491, 2002.
House, L. L. and Avery, L.W.: The Monte Carlo technique applied to radiative transfer, J. Quant. Spectrosc. Rad., 9, 1579–1591, 1969.
Hu, Y.-X., Wielicki, B., Lin, B., Gibson, G., Tsay, S.-C., Stamnes, K., and Wong, T.: δ-Fit: A fast and accurate treatment of particle scattering phase functions with weighted singular-value decomposition least-squares fitting, J. Quant. Spectrosc. Ra., 65, 681–690, 2000.
Hu, Y.-X., Wielicki, B., Yang, P., Stackhouse Jr., P. W., Lin, B., and Young, D. F.: Application of deep convective cloud albedo observation to satellite-based study of the terrestrial atmosphere: monitoring the stability of spaceborne measurements and assessing absorption anomaly, IEEE T. Geosci. Remote S., 42, 2594–2599, 2004.
Japan Meteorological Agency: JMA HRIT mission specific implementation, Version 1.2, 59 pp., 2003.
Johnson, B. C., Early, E. A., Eplee Jr., R. E., Barnes, R. A., and Caffrey, R. T.: The 1997 Prelaunch Calibration of SeaWiFS, NASA Tech. Memo. 1999-206892, 58 pp., 1999.
King, M. D.: Number of terms required in the Fourier expansion of the reflection function for optically thick atmospheres, J. Quant. Spectrosc. Rad., 30, 143–161, 1983.
Knapp, K. R. and Vonder Haar, T. H.: Calibration of the eighth Geostationary Observational Environmental Satellite (GOES-8) imager visible sensor, J. Atmos. Oceanic Tech., 17, 1639–1644, 2000.
Kriebel, K. T. and Amann, V.: Vicarious calibration of the Meteosat visible channel, J. Atmos. Oceanic Tech., 10, 225–232, 1993.
Loeb, N. G., Varnai, T., and Winker, D. M.: Influence of subpixel-scale cloud-top structure on reflectances from overcast stratiform cloud layers, J. Atmos. Sci., 55, 2960–2973, 1998.
Luo, Z., Liu, G. Y., and Stephens, G. L.: CloudSat adding new insight into tropical penetrating convection, Geophys. Res. Lett., 35, L19819, https://doi.org/10.1029/2008GL035330, 2008.
Marchuk, G., Mikhailov, G., Navaraliev, M., Darbinjan, R., Kargin, B., and Elepov, B.: The Monte Carlo Methods in Atmospheric Optics, Spinger-Verlag, 208 pp., 1980.
Marshak, A., Davis, A., Wiscombe, W. J., Ridgway, W., and Cahalan, R. F.: Biases in shortwave column absorption in the presence of fractal clouds, J. Climate, 11, 431–446, 1998.
Martiny, N., Santer, R., and Smolskaia, I.: Vicarious calibration of MERIS over dark waters in the near infrared, Remote Sens. Environ., 94, 475–490, 2005.
Minnis, P, Nguyen, L., Doelling, D. R., Young, D. F., Miller, W. F., and Kratz, D. P.: Rapid calibration of operational and research meteorological satellite imagers. Part I: Evaluation of research satellite visible channels as references, J. Atmos. Oceanic Tech., 19, 1233–1249, 2002a.
Minnis, P, Nguyen, L., Doelling, D. R., Young, D. F., Miller, W. F., and Kratz, D. P.: Rapid calibration of operational and research meteorological satellite imagers. Part II: Comparison of infrared channels, J. Atmos. Oceanic Tech., 19, 1250–1266, 2002b.
Minnis, P., Doelling, D. R., Nguyen, L., Miller, W. F., and Chakrapani, V.: Assessment of the visible channel calibrations of the VIRS on TRMM and MODIS on Aqua and Terra, J. Atmos. Oceanic Tech., 25, 385–400, 2008.
Nakajima, T. and Tanaka, M.: Algorithm for radiative intensity calculations in moderately thick atmospheres using a truncation approximation, J. Quant. Spectrosc. Ra., 40, 51–69, 1988.
Okuyama, A.: Vicarious calibration of visible channel activity at the JMA, GSICS GRWG-GDWG Joint Meeting, Tokyo, Japan, January 28–30, 2009.
Oreopoulos, L. and Davies, R.: Plane parallel albedo biases from satellite observations. Part I: Dependence on resolution and other factors, J. Climate, 11, 919–932, 1998a.
Oreopoulos, L. and Davies, R.: Plane parallel albedo biases from satellite observations. Part II: Parameterizations for bias removal, J. Climate, 11, 933–944, 1998b.
Pierluissi, J. H. and Peng, G.-S.: New molecular transmission band models for LOWTRAN, Opt. Eng., 24 (3), 541–547, 1985.
Ricchiazzi, P., Yang, S., Gautier, C., and Sowle, D.: SBDART: A research and teaching software tool for plane-parallel radiative transfer in the Earth's atmosphere, B. Am. Meteorol. Soc., 79, 2101–2114, 1998.
Ricchiazzi, P.: Input documentation for SBDART, Univ. of California, Santa Barbra, 2002.
Sakuma, F., Ono, A., Tsuchida, S., Ohgi, N., Inada, H., Akagi, S., and Ono, H.: Onboard calibration of ASTER Instrument, IEEE T. Geosci. Remote S., 43, 2715–2724, 2005.
Scheirer, R. and Macke, A.: Cloud inhomogeneity and broadband solar fluxes, J. Geophys. Res., 108(D19), 4599, https://doi.org/10.1029/2002JD003321, 2003.
Schmetz, J., Pili, P., Tjemkes, S., Just, D., Kerkmann, J., Rota, S., and Ratier, A.: An introduction to Meteosat Second Generation (MSG), B. Am. Meteorol. Soc., 83, 977–992, 2002.
Sohn, B. J., Schmetz, J., Tjemkes, S., Koenig, M., Lutz, H., Arriaga, A., and Chung, E.-S.: Intercalibration of the Meteosat-7 water vapor channel with SSM/T-2, J. Geophys. Res., 105, 15673–15680, 2000.
Sohn, B. J., Park, H.-S., Han, H.-J., and Ahn, M.-H.: Evaluating the calibration of MTSAT-1R infrared channels using collocated Terra MODIS measurements, Int. J. Remote Sens., 29, 3033–3042, 2008.
Sohn, B. J., Ham, S.-H., and Yang, P.: Possibility of the visible-channel calibration using deep convective clouds overshooting the TTL, J. Appl. Meteorol. Clim., 48, 2271–2283, 2009.
Sun, J.-Q., Xiong, X., and Barnes, W. L.: MODIS solar diffuser stability monitor sun view modeling, IEEE T. Geosci. Remote S., 43, 1845–1854, 2005.
Tahara, Y. and Ohkawara, N.: Status of MTSAT-1R and recent activities in MSC, Proc. 2005 EUMETSAT Meteor. Satellite Conf., Dubrovnik, Croatia, EUMETSAT, 9–15, 2006.
Varnai, T. and Davies, R.: Effects of cloud heterogeneities on shortwave radiation: Comparison of cloud-top variability and internal heterogeneity, J. Atmos. Sci., 56, 4206–4224, 1999.
Varnai, T.: Influence of three-dimensional radiative effects on the spatial distribution of shortwave cloud reflection, J. Atmos. Sci., 57, 216–229, 2000.
Vermote, E. and Kaufman, Y. J.: Absolute calibration of AVHRR visible and near-infrared channels using ocean and cloud views, Int. J. Remote Sens., 16, 2317–2340, 1995.
Vermote, E. F. and Saleous, N. Z.: Calibration of NOAA16 AVHRR over a desert site using MODIS data, Remote Sens. Environ., 105, 214–220, 2006.
Vermote, E. F., Member, IEEE, Tanre, D., Deuze, J. L., Herman, M., and Morcrette, J.-J.: Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: An overview, IEEE T. Geosci. Remote S., 35, 675–686, 1997.
Wiscombe, W. J.: The Delta-M Method: Rapid yet accurate radiative flux calculations for strongly asymmetric phase functions, J. Atmos. Sci., 34, 1408–1422, 1977.
Wu, X. and Sun, F.: Post-launch calibration of GOES Imager visible channel using MODIS, in: Earth Observing Systems X, edited by: Butler, J. J., International Society for Optical Engineering, SPIE Proc., 5882, https://doi.org/10.1117/12.615401, 2005.
Xiong, X. and Barnes, W. L.: Early on-orbit calibration results from Aqua MODIS, in: Sensors, Systems, and Next-Generation Satellites VI, edited by: Fujisada, H., Lurie, J. B., Aten, M. L., et al., International Society for Optical Engineering, SPIE Proc., 4881, 327–336, 2003.
Xiong, X. and Barnes, W. L.: An overview of MODIS radiometric calibration and characterization, Adv. Atmos. Sci., 23, 69–79, 2006.
Yang, P., Liou, K. N., Wyser, K., and Mitchell, D.: Parameterization of the scattering and absorption properties of individual ice crystals, J. Geophys. Res., 105(D4), 4699–4718, https://doi.org/10.1029/1999JD900755, 2000.
Yang, P., Baum, B. A., Heymsfield, A. J., Hu, Y.-X., Huang, H.-L., Tsay, S.-C., and Ackerman, S.: Single-scattering properties of droxtals, J. Quant. Spectrosc. Ra., 79–80, 1159–1169, 2003.
Yang, P., Wei, H., Huang, H.-L., Baum, B. A., Hu, Y.-X., Kattawar, G. W., Mishchenko, M. I., and Fu, Q.: Scattering and absorption property database for nonspherical ice particles in the near- through far-infrared spectral region, Appl. Opt., 44, 5512–5523, 2005.
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