A Parameterization for Longwave Surface Radiation from Satellite Data: Recent Improvements

Gupta, S. K.; Darnell, Wayne L.; Wilber, Anne C.

doi:10.1175/1520-0450(1992)031<1361:apflsr>2.0.co;2

Cited by 129 publications

(91 citation statements)

References 8 publications

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“…The CERES radiation product is produced with the Li et al shortwave algorithm [42] and the Gupta et al longwave algorithm [43,44]. The Li et al algorithm [42] is a simple parameterization for estimating surface-absorbed flux from satellite-measured reflected flux at the top of the atmosphere (TOA).…”

Section: Satellite Datamentioning

confidence: 99%

“…The linear relationship is independent of cloud-optical thickness and surface albedo, and depends strongly on SZA and moderately on precipitable water and cloud type. The Gupta et al algorithm [43,44] is a parameterization of radiative transfer equation for surface longwave radiation. The algorithm requires the atmospheric humidity and temperature profiles as input provided by satellite retrieval products.…”

Section: Satellite Datamentioning

confidence: 99%

“…SRB shortwave algorithm inputs include SZA, ozone amount, surface albedo, aerosol optical depth, water vapor amount, cloud, atmosphere humility profile, and TOA insolation. SRB longwave algorithm inputs include SZA, atmosphere profile (optical depth in normal direction, single-scattering albedo, and air temperature), surface temperature, surface emissivity, and H2O/CO2/O3/CH4/NO2 content [39][40][41][42][43][44].…”

Section: Satellite Datamentioning

confidence: 99%

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Comparative Assessment of Satellite-Retrieved Surface Net Radiation: An Examination on CERES and SRB Datasets in China

2015

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Surface net radiation plays an important role in land-atmosphere interactions. The net radiation can be retrieved from satellite radiative products, yet its accuracy needs comprehensive assessment. This study evaluates monthly surface net radiation generated from the Clouds and the Earth's Radiant Energy System (CERES) and the Surface Radiation Budget project (SRB) products, respectively, with quality-controlled radiation data from 50 meteorological stations in China for the period from . Spatially, the satellite-retrieved monthly mean of surface net radiation has relatively small errors for both CERES and SRB at inland sites in south China. Substantial errors are found at northeastern sites for two datasets, in addition to coastal sites for CERES. Temporally, multi-year averaged monthly mean errors are large at sites in western China in spring and summer, and in northeastern China in spring and winter. The annual mean error fluctuates for SRB, but decreases for CERES between 2000 and 2007. For CERES, 56% of net radiation errors come from net shortwave (NSW) radiation and 44% from net longwave (NLW) radiation. The errors are attributable to environmental parameters including surface albedo, surface water vapor pressure, land surface temperature, normalized difference vegetation index (NDVI) of land surface proxy, OPEN ACCESSRemote Sens. 2015, 7 4900 and visibility for CERES. For SRB, 65% of the errors come from NSW and 35% from NLW radiation. The major influencing factors in a descending order are surface water vapor pressure, surface albedo, land surface temperature, NDVI, and visibility. Our findings offer an insight into error patterns in satellite-retrieved surface net radiation and should be valuable to improving retrieval accuracy of surface net radiation. Moreover, our study on radiation data of China provides a case example for worldwide validation.

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Section: Satellite Datamentioning

confidence: 99%

Section: Satellite Datamentioning

confidence: 99%

Section: Satellite Datamentioning

confidence: 99%

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Comparative Assessment of Satellite-Retrieved Surface Net Radiation: An Examination on CERES and SRB Datasets in China

2015

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“…Rather, the NLDAS longwave product (herein referred to as NLDAS-LW), which is largely based on Eta Data Assimilation System (EDAS) model output, is used for comparison. Clouds and the Earth's Radiant Energy System (CERES) (Wielicki et al, 1998) and International Satellite Cloud Climatology Project (ISCCP) based longwave flux (Gupta et al, 1992) products are available for comparison; however, the temporal resolutions of the once-daily and three-hourly products, respectively, were considered too coarse for comparison. Subhourly estimates of downwelling shortwave (Geiger et al, 2008) and downwelling longwave (Trigo et al, 2007) radiation are available from the Satellite Application Facility for Land Surface Analysis, but coverage only includes Europe, Africa, the Middle East, and portions of South America.…”

Section: Model Applicationmentioning

confidence: 99%

“…A number of satellite-derived radiation products utilizing complex radiative transfer models have been developed (e.g. Gautier et al, 1980;Pinker and Ewing, 1985;Gupta et al, 1992;Meetschen et al, 2004). Many of these models invert satellite-derived brightness temperatures in order to estimate cloud conditions and the subsequent modulation by clouds on the downwelling radiative fluxes.…”

Section: Introductionmentioning

confidence: 99%

High-resolution satellite-based cloud-coupled estimates of total downwelling surface radiation for hydrologic modelling applications

Forman

Margulis

2009

Hydrol. Earth Syst. Sci.

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Abstract.A relatively simple satellite-based radiation model yielding high-resolution (in space and time) downwelling longwave and shortwave radiative fluxes at the Earth's surface is presented. The primary aim of the approach is to provide a basis for deriving physically consistent forcing fields for distributed hydrologic models using satellite-based remote sensing data. The physically-based downwelling radiation model utilises satellite inputs from both geostationary and polar-orbiting platforms and requires only satellite-based inputs except that of a climatological lookup table derived from a regional climate model. Comparison against groundbased measurements over a 14-month simulation period in the Southern Great Plains of the United States demonstrates the ability to reproduce radiative fluxes at a spatial resolution of 4 km and a temporal resolution of 1 h with good accuracy during all-sky conditions. For hourly fluxes, a mean difference of −2 W m −2 with a root mean square difference of 21 W m −2 was found for the longwave fluxes whereas a mean difference of −7 W m −2 with a root mean square difference of 29 W m −2 was found for the shortwave fluxes. Additionally, comparison against advanced downwelling longwave and solar insolation products during all-sky conditions showed comparable uncertainty in the longwave estimates and reduced uncertainty in the shortwave estimates. The relatively simple form of the model enables future usage in ensemble-based applications including data assimilation frameworks in order to explicitly account for input uncertainties while providing the potential for conditioning estimates from other readily available products derived from more sophisticated retrieval algorithms.

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Karst water resources in a changing world: Review of hydrological modeling approaches

et al. 2014

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Karst regions represent 7–12% of the Earth's continental area, and about one quarter of the global population is completely or partially dependent on drinking water from karst aquifers. Climate simulations project a strong increase in temperature and a decrease of precipitation in many karst regions in the world over the next decades. Despite this potentially bleak future, few studies specifically quantify the impact of climate change on karst water resources. This review provides an introduction to karst, its evolution, and its particular hydrological processes. We explore different conceptual models of karst systems and how they can be translated into numerical models of varying complexity and therefore varying data requirements and depths of process representation. We discuss limitations of current karst models and show that at the present state, we face a challenge in terms of data availability and information content of the available data. We conclude by providing new research directions to develop and evaluate better prediction models to address the most challenging problems of karst water resources management, including opportunities for data collection and for karst model applications at so far unprecedented scales.

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A Parameterization for Longwave Surface Radiation from Satellite Data: Recent Improvements

Cited by 129 publications

References 8 publications

Comparative Assessment of Satellite-Retrieved Surface Net Radiation: An Examination on CERES and SRB Datasets in China

Comparative Assessment of Satellite-Retrieved Surface Net Radiation: An Examination on CERES and SRB Datasets in China

High-resolution satellite-based cloud-coupled estimates of total downwelling surface radiation for hydrologic modelling applications

Karst water resources in a changing world: Review of hydrological modeling approaches

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