Change of precipitation intensity spectra at different spatial scales under warming conditions

Wu, Fang; Fu, Congbin

doi:10.1007/s11434-013-5699-0

Cited by 26 publications

(28 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the absence of long-term global precipitation observations, little can be said with confidence in terms of global precipitation trends (Gruber and Levizzani 2008). An initial effort in this direction can be found in previous studies that examine precipitation at both regional and global scales (Wu and Fu 2013) or investigate simulated precipitation response with changing model resolution (Rasmussen et al 2012;Mendoza et al 2016). However, these studies are interested in model result implications.…”

mentioning

confidence: 99%

Global Precipitation Trends across Spatial Scales Using Satellite Observations

Nguyen

Thorstensen

Sorooshian

et al. 2018

Bulletin of the American Meteorological Society

View full text Add to dashboard Cite

Little dispute surrounds the observed global temperature changes over the past decades. As a result, there is widespread agreement that a corresponding response in the global hydrologic cycle must exist. However, exactly how such a response manifests remains unsettled. Here we use a unique recently developed long-term satellite-based record to assess changes in precipitation across spatial scales. We show that warm climate regions exhibit decreasing precipitation trends, while arid and polar climate regions show increasing trends. At the country scale, precipitation seems to have increased in 96 countries, and decreased in 104. We also explore precipitation changes over 237 global major basins. Our results show opposing trends at different scales, highlighting the importance of spatial scale in trend analysis. Furthermore, while the increasing global temperature trend is apparent in observations, the same cannot be said for the global precipitation trend according to the high-resolution dataset, PERSIANN-CDR, used in this study.

show abstract

mentioning

confidence: 99%

Global Precipitation Trends across Spatial Scales Using Satellite Observations

Nguyen

Thorstensen

Sorooshian

et al. 2018

Bulletin of the American Meteorological Society

View full text Add to dashboard Cite

show abstract

“…Joint effects of frequency and intensity cause variations of precipitation in a given time period. In northern China, changes in annual precipitation are mainly caused by heavy precipitation, particularly in northwestern China [30][31][32][33]. Therefore, significant changes in precipitation intensity are expected to have important effects on terrestrial ecosystems.…”

mentioning

confidence: 99%

Effects of Precipitation Intensity and Temperature on NDVI-Based Grass Change over Northern China during the Period from 1982 to 2011

Yuan

Chen

et al. 2015

Remote Sensing

View full text Add to dashboard Cite

Abstract:The knowledge about impacts of changes in precipitation regimes on terrestrial ecosystems is fundamental to improve our understanding of global environment change, particularly in the context that heavy precipitation is expected to increase according to the 5th Intergovernmental Panel on Climate Change (IPCC) assessment. Based on observed climate data and the Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) satellite-derived normalized difference vegetation index (NDVI), here we analyzed the spatio-temporal changes in grassland NDVI, covering 1.64 × 10 6 km 2 , in northern China and their linkages to changes in precipitation and temperature during the period 1982-2011. We found that mean growing season (April-October) grass NDVI is more sensitive to heavy precipitation than to moderate or light precipitation in both relatively arid areas (RAA) and relatively humid areas (RHA), whereas the sensitivities of grass NDVI to temperature are comparable to total precipitation in RHA. Heavy precipitation showed the strongest impacts in more than half of northern China (56%), whereas impacts of light precipitation on grass NDVI were stronger in some areas (21%), mainly distributed in northwestern China, a typical arid and

show abstract

“…In addition, changes in the deserts and sand fields have also influenced climate and human life at local to hemispheric scales, thus, to understand environment changes in these deserts and sand fields is not only a scientific question, it is also important to combating desertification. The deserts and sand fields have changed greatly in time and space during late Quaternary, and to reconstruct spatial changes in extent of active dunes is particular important [2][3][4][5][6]. There were a few reconstructions of desert changes during the Last Glacial Maximum (LGM) and Holocene Optimum (HO) [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26], however, because of limited dating work and field investigation, the results need tested.…”

mentioning

confidence: 99%

Chinese deserts and sand fields in Last Glacial Maximum and Holocene Optimum

et al. 2013

Chin. Sci. Bull.

103

View full text Add to dashboard Cite

The Last Glacial Maximum (LGM, and the Holocene Optimum (HO, c. 9-5 ka) were characterized by cold-dry and warm-wet climates respectively in the recently geological Earth. How Chinese deserts and sand fields responded to these distinctive climatic changes is still not clear, however. To reconstruct environments of the deserts and sand fields during the LGM and HO is helpful to understand the forcing mechanisms of environment change in this arid region, and to test paleoclimatic modeling results. Through our long-term field and laboratory investigations, 400 optically stimulated luminescence (OSL) ages and more than 100 depositional records in the Chinese deserts and sand fields were obtained; on the basis of these data, we reconstruct spatial distributions of the deserts and sand fields during the LGM and HO. Our results show that the sand fields of Mu Us, Hunshandake, Horqin and Hulun Buir in northern and northeastern China had expanded 25%, 37%, 38% and 270%, respectively, during the LGM; the sand fields of Gonghe in the northeastern Qinghai-Tibetan Plateau had expanded 20%, and the deserts of Badain Jaran, Tengger in central northern China had expanded 39% and 29% separately during the LGM; the deserts of Taklimakan, Gurbantünggüt and Kumtag in northwestern China had expanded 10%-20% respectively, compared to their modern areas. On the other hand, all of the sand fields were nearly completely covered by vegetation during the HO; the deserts in northwestern and central northern China were reduced by around 5%-20% in area during this time. Lakes in this arid region were probably expanded during the HO but this conclusion needs more investigation. Compared with the geological distributions of deserts and sand fields, human activity has clearly changed (expanded) the area of active sand dunes at the present time. Our observations show that environmental conditions of Chinese deserts and sand fields are controlled by regional climate together with human activity. deserts and sand fields in China, Last Glacial Maximum, Holocene Optimum, OSL dating, active sand dunes Citation:

show abstract

Change of precipitation intensity spectra at different spatial scales under warming conditions

Cited by 26 publications

References 28 publications

Global Precipitation Trends across Spatial Scales Using Satellite Observations

Global Precipitation Trends across Spatial Scales Using Satellite Observations

Effects of Precipitation Intensity and Temperature on NDVI-Based Grass Change over Northern China during the Period from 1982 to 2011

Chinese deserts and sand fields in Last Glacial Maximum and Holocene Optimum

Contact Info

Product

Resources

About