A Climatology of Surface Radiation Budget Derived from Satellite Data

Gupta, S. K.; Ritchey, N. A.; Wilber, Anne C.; Whitlock, C. H.; Gibson, Gary G.; Stackhouse, Paul W.

doi:10.1175/1520-0442(1999)012<2691:acosrb>2.0.co;2

Cited by 199 publications

(154 citation statements)

References 41 publications

Supporting

Mentioning

140

Contrasting

Order By: Relevance

“…Surface shortwave and longwave radiation data were obtained from the Global Energy and Water Cycle Ex-periment (GEWEX) Surface Radiation Budget (SRB) Project (Gupta et al 1999; see http://grp.giss.nasa.gov/ gewexdsetsbrowse.html) and from the International Satellite Cloud Climatology Project (ISCCP) radiative flux dataset (FD) (Zhang et al 2004). (Both datasets are available on a 2.5°ϫ 2.5°grid from January 1984 onward at http://isccp.giss.nasa.gov/products/browsed2.html.…”

Section: Data and Analysismentioning

confidence: 99%

Absorbing Aerosols and Summer Monsoon Evolution over South Asia: An Observational Portrayal

2008

View full text Add to dashboard Cite

The South Asian haze builds up from December to May, is mostly of anthropogenic origin, and absorbs part of the solar radiation. The influence of interannual variations of absorbing aerosols over the IndoGangetic Plain in May on the Indian summer monsoon is characterized by means of an observational analysis. Insight into how the aerosol impact is generated is also provided.It is shown that anomalous aerosol loading in late spring leads to remarkable and large-scale variations in the monsoon evolution. Excessive aerosols in May lead to reduced cloud amount and precipitation, increased surface shortwave radiation, and land surface warming. The June (and July) monsoon anomaly associated with excessive May aerosols is of opposite sign over much of the subcontinent (although with a different pattern) with respect to May. The monsoon strengthens in June (and July).The analysis suggests that the significant large-scale aerosol influence on monsoon circulation and hydroclimate is mediated by the heating of the land surface, pursuant to reduced cloudiness and precipitation in May. The finding of the significant role of the land surface in the realization of the aerosol impact is somewhat novel.

show abstract

Section: Data and Analysismentioning

confidence: 99%

Absorbing Aerosols and Summer Monsoon Evolution over South Asia: An Observational Portrayal

2008

View full text Add to dashboard Cite

show abstract

“…The spatial density of pyranometer measurements is sufficient for global and regional analyses, but a higher density of measurements is required for water resources analysis in river basins. Satellite measurements from NASA's Surface Radiation Budget (Gupta et al, 1999) cover a limited number of years (1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994), and longer time series are necessary to capture accurate means and trends in SW SFC .…”

Section: Introductionmentioning

confidence: 99%

“…The SW SFC calculated from the Hargreaves-aerosol equations were then compared with the satellite measurements of SW SFC to confirm that monthly patterns and trends were captured by both data sets. The cloudiness (26 stations) and SW SFC data (two stations) were first checked against satellite observations from NASA's Solar Radiation Budget (Gupta et al, 1999;Stackhouse et al, 2001), and recommendations were made about which data to use for regional hydrologic and water resources modeling. The main questions included the following.…”

Section: Introductionmentioning

confidence: 99%

Trends in solar radiation due to clouds and aerosols, southern India, 1952–1997

Biggs

Scott

Rajagopalan

et al. 2007

Intl Journal of Climatology

View full text Add to dashboard Cite

Abstract:Decadal trends in cloudiness are shown to affect incoming solar radiation (SW SFC ) in the Krishna River basin (13-20°N, 72-82°E), southern India, from 1952 to 1997. Annual average cloudiness at 14 meteorological stations across the basin decreased by 0.09% of the sky per year over 1952-1997. The decreased cloudiness partly balanced the effects of aerosols on incoming solar radiation (SW SFC ), resulting in a small net increase in SW SFC in monsoon months (0.1-2.9 W m −2 per decade). During the non-monsoon, aerosol forcing dominated over trends in cloud forcing, resulting in a net decrease in SW SFC (−2.8 to −5.5 W m −2 per decade). Monthly satellite measurements from the International Satellite Cloud Climatology Project (ISCCP) covering 1983-1995 were used to screen the visual cloudiness measurements at 26 meteorological stations, which reduced the data set to 14 stations and extended the cloudiness record back to 1952. SW SFC measurements were available at only two stations, so the SW SFC record was extended in time and to the other stations using a combination of the Angstrom and Hargreaves-Supit equations. The Hargreaves-Supit estimates of SW SFC were then corrected for trends in aerosols using the literature values of aerosol forcing over India. Monthly values and trends in satellite measurements of SW SFC from National Aeronautics and Space Administration's (NASA's) surface radiation budget (SRB) matched the aerosol-corrected Hargreaves-Supit estimates over 1984-1994 (RMSE = 11.9 W m −2 , 5.2%). We conclude that meteorological station measurements of cloudiness, quality checked with satellite imagery and calibrated to local measurements of incoming radiation, provide an opportunity to extend radiation measurements in space and time. Reports of decreased cloudiness in other parts of continental Asia suggest that the cloud-aerosol trade-off observed in the Krishna basin may be widespread, particularly during the rainy seasons when changes in clouds have large effects on incoming radiation compared with aerosol forcing.

show abstract

“…DSSR affects energy and carbon dioxide processes between terrestrial ecosystems and the atmosphere and plays an important role in oceanic and atmospheric circulation (Gupta et al, 1999;Wild et al, 1995). An accurate estimation of the DSSR is essential for understanding and assessing the radiative forcing of the climate system.…”

Section: Introductionmentioning

confidence: 99%

Estimating global solar radiation using a hybrid parametric model from MODIS data over the Tibetan Plateau

Zhang

Xin

et al. 2015

Solar Energy

View full text Add to dashboard Cite

The Tibetan Plateau plays an important role in global atmospheric circulation with its complex terrain. The downward surface shortwave radiation (DSSR) can be obtained from remote sensing data because of its sparse observations and rugged surface. In this paper, a satellite-based scheme is presented to retrieve all-sky downward surface shortwave radiation, which links a look-up table algorithm and satellite images. The look-up table for clear sky and cloudy sky was created separately using a comprehensive 1D physically based radiative transfer model SBDART to achieve a higher computational accuracy and efficiency compared to the comprehensive radiative transfer model. The estimated DSSR was validated using one year pyranometer measurements from 8 stations in the Tibetan Plateau and compared with GEWEX-SRB data with 1°spatial resolution. The result shows that the largest root mean square error was 60 W/m 2 (32%) at Guoluo station, and the least root mean square error was 13 W/m 2 (13%) at Golmud station. The bias was larger in summer and smaller in winter, which may be caused by uncertainties in the assumption from the 1D radiative transfer model and MODIS cloud properties product for broken and inhomogeneous clouds. The algorithm we proposed can be applied globally without local calibration because it is independent of climate and the surface elevation.

show abstract

A Climatology of Surface Radiation Budget Derived from Satellite Data

Cited by 199 publications

References 41 publications

Absorbing Aerosols and Summer Monsoon Evolution over South Asia: An Observational Portrayal

Absorbing Aerosols and Summer Monsoon Evolution over South Asia: An Observational Portrayal

Trends in solar radiation due to clouds and aerosols, southern India, 1952–1997

Estimating global solar radiation using a hybrid parametric model from MODIS data over the Tibetan Plateau

Contact Info

Product

Resources

About