FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2997502390> ?p ?o ?g. }

• W2997502390 abstract "Abstract. Atmospheric pollution over South Asia attracts special attention due to its effects on regional climate, the water cycle, and human health. These effects are potentially growing owing to rising trends of anthropogenic aerosol emissions found there. In this study, the spatio-temporal aerosol distributions over South Asia from 7 global models, for the period of 2000–2007, are evaluated systematically against aerosol retrievals of NASA satellite sensors and ground-based measurements. Overall, substantial underestimations of aerosol loading over South Asia are found systematically in 6 out of 7 models. Averaged over the entire South Asia, the annual mean Aerosol Optical Depth (AOD) is underestimated by a range of 18–45 % across models compared to MISR, which is the lowest bound among various satellite AOD retrievals (from MISR, SeaWiFS, MODIS Aqua and Terra). In particular at Kanpur located in northern India, AOD is underestimated even more by a factor of 4, and annual mean Aerosol Absorption Optical Depth (AAOD) is underestimated by about a factor of 2 in comparison with AERONET, during the post-monsoon and the wintertime periods (i.e. October–January) when agricultural waste burning and anthropogenic emissions dominate. The largest model underestimation of aerosol loading occurs in the lowest boundary layer (from surface to 2 km) based on the comparisons with aerosol extinction vertical distribution from CALIPSO. The possible causes for the common problems of model aerosol underestimation over south Asia are identified here, which are suggested as the following. During the winter, not only the columnar aerosol loading in models, but also surface concentrations of all aerosol components (sulfate, nitrate, organic aerosol and black carbon) are found lower than observations (ISRO-GBP, ICARB and CALIPSO), indicating that anthropogenic emissions, especially biofuel, are likely underestimated in this season. Nitrate, a major component of aerosols in South Asia, is either not considered in 4 out of 7 models or significantly lower than observations in other 2 models. Surprisingly, the near-surface relative humidity in these models is found significantly lower than observations in the winter, resulting in suppression of the hygroscopic growth of soluble aerosols and formations of sulfate and nitrate, and thereby underestimation of AOD. During the post-monsoon season, the deficiency of agricultural waste burning emissions in GFED2 biomass burning emission inventory, used by the models, partly contributes to the model underestimation of aerosol loading over South Asia in burning seasons." @default.
• W2997502390 created "2020-01-10" @default.
• W2997502390 creator A5057987416 @default.
• W2997502390 date "2014-07-22" @default.
• W2997502390 modified "2023-09-29" @default.
• W2997502390 title "A multi-model evaluation of aerosols over South Asia: Common problems and possible causes" @default.
• W2997502390 cites W1546982118 @default.
• W2997502390 cites W1551532899 @default.
• W2997502390 cites W1905297124 @default.
• W2997502390 cites W1944476517 @default.
• W2997502390 cites W1960909689 @default.
• W2997502390 cites W1973144465 @default.
• W2997502390 cites W1977246492 @default.
• W2997502390 cites W1978124111 @default.
• W2997502390 cites W1979660112 @default.
• W2997502390 cites W1980815716 @default.
• W2997502390 cites W1985078380 @default.
• W2997502390 cites W1986449235 @default.
• W2997502390 cites W1991096607 @default.
• W2997502390 cites W1991869820 @default.
• W2997502390 cites W1994351487 @default.
• W2997502390 cites W2001981020 @default.
• W2997502390 cites W2002992571 @default.
• W2997502390 cites W2009593394 @default.
• W2997502390 cites W2013018197 @default.
• W2997502390 cites W2015391101 @default.
• W2997502390 cites W2017201427 @default.
• W2997502390 cites W2018593037 @default.
• W2997502390 cites W2019692945 @default.
• W2997502390 cites W2020247054 @default.
• W2997502390 cites W2021394581 @default.
• W2997502390 cites W2030580060 @default.
• W2997502390 cites W2032695001 @default.
• W2997502390 cites W2036550003 @default.
• W2997502390 cites W2040707362 @default.
• W2997502390 cites W2042695194 @default.
• W2997502390 cites W2046350296 @default.
• W2997502390 cites W2061430761 @default.
• W2997502390 cites W2062422119 @default.
• W2997502390 cites W2067726355 @default.
• W2997502390 cites W2068361634 @default.
• W2997502390 cites W2070079294 @default.
• W2997502390 cites W2070533532 @default.
• W2997502390 cites W2072019789 @default.
• W2997502390 cites W2072585620 @default.
• W2997502390 cites W2078078291 @default.
• W2997502390 cites W2079945905 @default.
• W2997502390 cites W2082000275 @default.
• W2997502390 cites W2082562995 @default.
• W2997502390 cites W2083471549 @default.
• W2997502390 cites W2084676053 @default.
• W2997502390 cites W2085743382 @default.
• W2997502390 cites W2085849605 @default.
• W2997502390 cites W2087416503 @default.
• W2997502390 cites W2089433206 @default.
• W2997502390 cites W2089999855 @default.
• W2997502390 cites W2094305841 @default.
• W2997502390 cites W2097083345 @default.
• W2997502390 cites W2098384066 @default.
• W2997502390 cites W2102834380 @default.
• W2997502390 cites W2113383654 @default.
• W2997502390 cites W2117295103 @default.
• W2997502390 cites W2117922368 @default.
• W2997502390 cites W2124061257 @default.
• W2997502390 cites W2126619172 @default.
• W2997502390 cites W2126696183 @default.
• W2997502390 cites W2131491776 @default.
• W2997502390 cites W2134927874 @default.
• W2997502390 cites W2136408596 @default.
• W2997502390 cites W2139695733 @default.
• W2997502390 cites W2141111894 @default.
• W2997502390 cites W2142037892 @default.
• W2997502390 cites W2147489313 @default.
• W2997502390 cites W2148651398 @default.
• W2997502390 cites W2149745779 @default.
• W2997502390 cites W2158210976 @default.
• W2997502390 cites W2161770391 @default.
• W2997502390 cites W2162203887 @default.
• W2997502390 cites W2164927380 @default.
• W2997502390 cites W2317205298 @default.
• W2997502390 cites W2322739406 @default.
• W2997502390 cites W2472229708 @default.
• W2997502390 cites W2528800051 @default.
• W2997502390 cites W4253197240 @default.
• W2997502390 doi "https://doi.org/10.5194/acpd-14-19095-2014" @default.
• W2997502390 hasPublicationYear "2014" @default.
• W2997502390 type Work @default.
• W2997502390 sameAs 2997502390 @default.
• W2997502390 citedByCount "4" @default.
• W2997502390 countsByYear W29975023902014 @default.
• W2997502390 countsByYear W29975023902015 @default.
• W2997502390 countsByYear W29975023902016 @default.
• W2997502390 crossrefType "posted-content" @default.
• W2997502390 hasAuthorship W2997502390A5057987416 @default.
• W2997502390 hasBestOaLocation W29975023901 @default.
• W2997502390 hasConcept C117082904 @default.
• W2997502390 hasConcept C127313418 @default.
• W2997502390 hasConcept C127413603 @default.
• W2997502390 hasConcept C136996986 @default.
• W2997502390 hasConcept C142796444 @default.

• next