An assessment of radiation budget data provided by the ISCCP and GEWEX‐SRB

Raschke, E.; Bakan, Stephan; Kinne, Stefan

doi:10.1029/2005gl025503

Cited by 42 publications

(40 citation statements)

References 13 publications

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“…SunDu has been regarded as a measure of cloud cover. However, studies have shown that aerosols can also reduce SunDu (Horseman et al, 2008;Kaiser and Qian, 2002;Raschke et al, 2006;Sanchez-Lorenzo et al, 2008Tang et al, 2011). This paper further demonstrates that SunDu can be used to estimate R s globally with sufficient accuracy to establish its year-to-year variations.…”

Section: Introductionsupporting

confidence: 55%

“…The inter-annual variation of aerosols was not included. This inter-annual variation can be captured by the observed SunDu (Horseman et al, 2008;Kaiser and Qian, 2002;Raschke et al, 2006;SanchezLorenzo et al, 2008;Sanchez-Lorenzo et al, 2009;Tang et al, 2011). Yang et al (2006) used one year of SunDu data in Japan and R s to derive a 0 , a 1 , and a 2 in Eq.…”

Section: Methodsmentioning

confidence: 99%

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Atmospheric impacts on climatic variability of surface incident solar radiation

Wang

Dickinson

Wild³

et al. 2012

Atmos. Chem. Phys.

129

110

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Abstract. The Earth's climate is driven by surface incident solar radiation (R s ). Direct measurements have shown that R s has undergone significant decadal variations. However, a large fraction of the global land surface is not covered by these observations. Satellite-derived R s has a good global coverage but is of low accuracy in its depiction of decadal variability. This paper shows that daily to decadal variations of R s , from both aerosols and cloud properties, can be accurately estimated using globally available measurements of Sunshine Duration (SunDu). In particular, SunDu shows that since the late 1980's R s has brightened over Europe due to decreases in aerosols but dimmed over China due to their increases. We found that variation of cloud cover determines R s at a monthly scale but that aerosols determine the variability of R s at a decadal time scale, in particular, over Europe and China. Because of its global availability and long-term history, SunDu can provide an accurate and continuous proxy record of R s , filling in values for the blank areas that are not covered by direct measurements. Compared to its direct measurement, R s from SunDu appears to be less sensitive to instrument replacement and calibration, and shows that the widely reported sharp increase in R s during the early 1990s in China was a result of instrument replacement. By merging direct measurements collected by Global Energy Budget Archive with those derived from SunDu, we obtained a good coverage of R s over the Northern Hemisphere. From this data, the average increase of R s from 1982 to 2008 is estimated to be 0.87 W m −2 per decade.

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Section: Introductionsupporting

confidence: 55%

Section: Methodsmentioning

confidence: 99%

Atmospheric impacts on climatic variability of surface incident solar radiation

Wang

Dickinson

Wild³

et al. 2012

Atmos. Chem. Phys.

129

110

View full text Add to dashboard Cite

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“…As a non-dynamic model, the CPTEC-PVM2.0Reg calculates only equilibrium solutions based on long-term mean monthly climate variables. This is done concomitantly by a water balance sub-model using climatological values of surface temperature and precipitation (C. J. Willmott and K. Matsuura, Terrestrial air temperature and precipitation: Monthly and annual climatologies, University of Delaware, Newark, 1998, http:// climate.geog.udel.edu/∼climate/html_pages/archive.html)), intercepted photosynthetically active radiation (I PAR ) (1986( -1995( [Raschke et al, 2006), soil classes [Food and Agriculture Organization of the United Nations, 1991], and atmospheric CO 2 concentration [IPCC, 2007] as inputs.…”

Section: Methodsmentioning

confidence: 99%

Climate change and thresholds of biome shifts in Amazonia

Salazar

Nobre

2010

Geophysical Research Letters

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[1] We examine potential critical thresholds for biome shift in the Amazonian tropical forest by forcing a potential vegetation model with prescribed climate anomalies and projections from global and regional climate models and different levels of CO 2 fertilization effect under the SRES A2 scenario . The results indicate that tropical forests might be replaced by seasonal forests or savanna over eastern Amazonia with temperature increases of 2-3°C (4-5°C), when CO 2 fertilization effect is not considered (partially considered), depending on precipitation anomaly. A precipitation decrease greater than 30% would trigger the shift from tropical forest to drier biomes, such as savanna and shrubland in southeastern Amazonia. The projected decrease in precipitation during the dry season and the increase of temperature are the main mechanisms driving calculated biome changes. However, biome changes are considerably smaller when the optimum fertilization effect is included.

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“…However, the primary geostationary input to ISCCP H-series is B1U data, which have 3-hourly and ∼ 10 km temporal and spatial resolutions. ISCCP ancillary products have also undergone modifications following recommendations from Raschke et al (2006). Table 1 shows the details of D-to H-series ancillary product changes.…”

Section: Isccp H-series Processingmentioning

confidence: 99%

The International Satellite Cloud Climatology Project H-Series climate data record product

Young

Knapp

Inamdar

et al. 2018

Earth Syst. Sci. Data

167

109

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Abstract. This paper describes the new global long-term International Satellite Cloud Climatology Project (ISCCP) H-series climate data record (CDR). The H-series data contain a suite of level 2 and 3 products for monitoring the distribution and variation of cloud and surface properties to better understand the effects of clouds on climate, the radiation budget, and the global hydrologic cycle. This product is currently available for public use and is derived from both geostationary and polar-orbiting satellite imaging radiometers with common visible and infrared (IR) channels. The H-series data currently span July 1983 to December 2009 with plans for continued production to extend the record to the present with regular updates. The H-series data are the longest combined geostationary and polar orbiter satellite-based CDR of cloud properties. Access to the data is provided in network common data form (netCDF) and archived by NOAA's National Centers for Environmental Information (NCEI) under the satellite Climate Data Record Program (https://doi.org/10.7289/V5QZ281S). The basic characteristics, history, and evolution of the dataset are presented herein with particular emphasis on and discussion of product changes between the H-series and the widely used predecessor D-series product which also spans from July 1983 through December 2009. Key refinements included in the ISCCP H-series CDR are based on improved quality control measures, modified ancillary inputs, higher spatial resolution input and output products, calibration refinements, and updated documentation and metadata to bring the H-series product into compliance with existing standards for climate data records.

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An assessment of radiation budget data provided by the ISCCP and GEWEX‐SRB

Cited by 42 publications

References 13 publications

Atmospheric impacts on climatic variability of surface incident solar radiation

Atmospheric impacts on climatic variability of surface incident solar radiation

Climate change and thresholds of biome shifts in Amazonia

The International Satellite Cloud Climatology Project H-Series climate data record product

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