Climate Change detection over different land surface vegetation classes

Dang, Hongyan; Gillett, Nathan P.; Weaver, Andrew J.; Zwiers, Francis W.

doi:10.1002/joc.1397

Cited by 20 publications

(15 citation statements)

References 53 publications

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“…The Köppen climate classification has been widely used to evaluate climate change impacts on climate types (Fraedrich et al 2001;Peel et al 2002;Dang et al 2007;Diaz and Eischeid 2007;Roderfeld et al 2008) and to diagnose numerical models (Lohmann et al 1993;Kleidon et al 2000;Shin et al 2004;Gnanadesikan and Stouffer 2006). The data used in the previous studies cover not only limited areas but also the entire global land-mass with the various spatial resolutions ranging from 4-km pixel to 2°−3° grid box, indicating the applicability of the Köppen scheme to the study of the regional climate changes.…”

Section: Köppen Climate Classification and Data Setsmentioning

confidence: 99%

Changes in Arid Climate over North China Detected by the Koppen Climate Classification

Kim

Wang

Ding

et al. 2008

Journal of the Meteorological Society of Japan

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Changes in the arid climate over North China were investigated by applying the Köppen climate classification to Chinese station measurements and global grid data sets compiled over the period of 1951− 2000. The use of the Köppen scheme enables us to detect arid climate on a longer time-scale than is attainable through satellite remote sensing. A climatic shift toward a warmer and dryer condition is seen to be robust and substantial enough to cause conspicuous changes in the arid climate in North China from the decades 1951−1970 to the recent decades 1981−2000. The areas of semiarid (BS) and desert (BW) climate exhibit an overall expansion at the periphery of the existing arid zones in the studied period; a significance test shows that the increase in BS area is significant at the 99% confidence level, while that in BW area is relatively marginal. These results are indicative of the meteorological stress due to climatic transformation in North China, which is likely to be an impediment to sustainable re-greening in that region. Therefore, careful consideration of the effects of long-term climate change is required to support on-going and planned vegetation restoration in North China.

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Section: Köppen Climate Classification and Data Setsmentioning

confidence: 99%

Changes in Arid Climate over North China Detected by the Koppen Climate Classification

Kim

Wang

Ding

et al. 2008

Journal of the Meteorological Society of Japan

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“…Projected temperatures and precipitation under different scenarios show that climate change will have different impacts in different regions of the globe, with spatio-temporal changes in the occurrence and amounts of rainfall, but usually with an increase in temperature [1][2][3][4][5][6] in unequal proportions since the Paleolithic period [7,8]. The increase in temperature will affect rainfall and its variability, in particular, droughts and floods [9,10].…”

Section: Introductionmentioning

confidence: 99%

Change in Future Rainfall Characteristics in the Mekrou Catchment (Benin), from an Ensemble of 3 RCMs (MPI-REMO, DMI-HIRHAM5 and SMHI-RCA4)

et al. 2017

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This study analyzes the impact of climate change on several characteristics of rainfall in the Mekrou catchment for the twenty-first century. To this end, a multi-model ensemble based on regional climate model experiments considering two Representative Concentration Pathways (RCP4.5 and RCP8.5) is used. The results indicate a wider range of precipitation uncertainty (roughly between −10% and 10%), a decrease in the number of wet days (about 10%), an increase (about 10%) of the total intensity of precipitation for very wet days, and changes in the length of the dry spell period, as well as the onset and end of the rainy season. The maximum rainfall amounts of consecutive 24 h, 48 h and 72 h will experience increases of about 50% of the reference period. This change in rate compared to the reference period may cause an exacerbation of extreme events (droughts and floods) in the Mekrou basin, especially at the end of the century and under the RCP8.5 scenario. To cope with the challenges posed by the projected climate change for the Mekrou watershed, strong governmental policies are needed to help design response options.

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“…How local water resources will be affected is one of the most important questions in the context of global climate change (Jackson et al, 2001;Gordon and Famiglietti, 2004;Piao et al, 2010). The sign and magnitude of changes in the climatic variables vary by location and time as predicted by IPCC and empirical findings from historical studies (IPCC, 2007;Dang et al, 2007;Lu et al, 2009). Therefore, hydrologic change in response to climate change and variability is expected to be highly variable in space and time, and large uncertainty exists (Davi et al, 2006;Vicuna and Dracup, 2007;Barontini et al, 2009;Zhang et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Water yield responses to climate change and variability across the North–South Transect of Eastern China (NSTEC)

Lü

Sun

Feng

et al. 2013

Journal of Hydrology

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s u m m a r yChina is facing a growing water crisis due to climate and land use change, and rise in human water demand across this rapidly developing country. Understanding the spatial and temporal ecohydrologic responses to climate change is critical to sustainable water resource management. We investigated water yield (WY) responses to historical (1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000) and projected potential climate changes across a large and complex climatic and land cover gradients over the North-South Transect of Eastern China (NSTEC, a standard terrestrial transect of the International GeoBiological Project, IGBP). After an annual scale evapotranspiration (ET) model was validated with historical streamflow records from ten watersheds, the model was applied to the NSTEC that encompasses seven climatic zones. We found that (1) The spatial and temporal variations of WY were highly dependent on precipitation (P) patterns during 1981-2000. Overall, the influences of significant temperature (T) rise on the trend of WY were suppressed by the insignificant P change during 1981-2000. (2) The long-term mean WY by climatic zone had a similar pattern as P. The different climatic zones had differential contributions to the total volumetric WY of the NSTEC. Within each climatic zone, the volumetric WY for each land cover type was highly dependent on its area of each land cover. (3) Corresponding to the P pattern, the mean WY decreased from the low (South) to high latitude (North), but the rates of changes varied along the NSTEC. Along the NSTEC, the sensitivity of WY to potential T and P changes increased from the high latitude to the low latitude. Future potential changes in WY are likely to follow changes in P with some modification by changes in energy availability. We conclude that precipitation is a major driver for water resource availability, and reliable prediction of future precipitation change patterns is critical to hydrologic forecast across the study region.

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Climate Change detection over different land surface vegetation classes

Cited by 20 publications

References 53 publications

Changes in Arid Climate over North China Detected by the Koppen Climate Classification

Changes in Arid Climate over North China Detected by the Koppen Climate Classification

Change in Future Rainfall Characteristics in the Mekrou Catchment (Benin), from an Ensemble of 3 RCMs (MPI-REMO, DMI-HIRHAM5 and SMHI-RCA4)

Water yield responses to climate change and variability across the North–South Transect of Eastern China (NSTEC)

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