Climate change trend in China, with improved accuracy

Yue, Tianxiang; Zhao, Na; Ramsey, R. Douglas; Wang, Chenliang; Fan, Zemeng; Chen, Chuanfa; Lu, Yimin; Li, Bai-Lian

doi:10.1007/s10584-013-0785-5

Cited by 86 publications

(50 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5f). For example, the warming trend becomes more severe in the later period (Ge et al, 2013;Yue et al, 2013) (Fig. S3c and g).…”

Section: Resultsmentioning

confidence: 98%

“…The long-term trend in dryness is a critical concern for continental eastern Asia, as it is a region with very large populations, widely varying hydroclimate regimes, fragile ecosystems, and significant agricultural activities (Piao et al, 2010;Geng et al, 2014;Jeong et al, 2014). Also, the analysis region has recently experienced abrupt climate changes (Gong and Ho, 2002;Yue et al, 2013). For example, northeast China experienced severe warming by 0.36 • C decade −1 for the period of 1960-2006 (Piao et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dominance of climate warming effects on recent drying trends over wet monsoon regions

Park

Jeong

et al. 2017

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract. Understanding changes in background dryness over land is key information for adapting to climate change because of its critical socioeconomic consequences. However, causes of continental dryness changes remain uncertain because various climate parameters control dryness. Here, we verify dominant climate variables determining dryness trends over continental eastern Asia, which is characterized by diverse hydroclimate regimes ranging from arid to humid, by quantifying the relative effects of changes in precipitation, solar radiation, wind speed, surface air temperature, and relative humidity on trends in the aridity index based on observed data from 189 weather stations for the period of 1961 . Before the early 1980s (1961 -1983, change in precipitation is a primary condition for determining aridity trends. In the later period , the dominant climate parameter for aridity trends varies according to the hydroclimate regime. Drying trends in arid regions are mostly explained by reduced precipitation. In contrast, the increase in potential evapotranspiration due to increased atmospheric waterholding capacity, a secondary impact of warming, works to increase aridity over the humid monsoon region despite an enhanced water supply and relatively less warming. Our results show significant drying effects of warming over the humid monsoon region in recent decades; this also supports the drying trends over warm and water-sufficient regions in future climate.

show abstract

“…5f). For example, the warming trend becomes more severe in the later period (Ge et al, 2013;Yue et al, 2013) (Fig. S3c and g).…”

Section: Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Dominance of climate warming effects on recent drying trends over wet monsoon regions

Park

Jeong

et al. 2017

Atmos. Chem. Phys.

View full text Add to dashboard Cite

show abstract

“…The matrix formulation of HASM master equations can be respectively expressed as (Yue, 2011;Yue et al, 2013Yue et al, , 2014Yue et al, , 2015,…”

Section: Hasmmentioning

confidence: 99%

Surface modeling of soil antibiotics

Shi

Yue

et al. 2016

Science of The Total Environment

Self Cite

View full text Add to dashboard Cite

“…During the period from 1961 to 2010, mean annual temperature (MAT) of China increased by 1.44 C (Yue et al, 2013b); from 2010 to 2099, MAT was estimated to be 2 Ce4.62 C warmer (Yue, 2011). However, the projected results of current climate models are questionable on a regional level (Raisanen, 2007;Makarieva et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…If {(x i ,y j )} is an orthogonal division of a computational domain and h represents simulation step length, the central point of lattice(x i ,y j ) could be expressed as (0.5h (Quarteroni et al, 2000), the iterative formulation of the HASM master equation set can be expressed as (Yue et al, 2013b;Zhao and Yue, 2014 for 1 i I, 1 j J.…”

mentioning

confidence: 99%

A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification

Yue

Zhao

Zhang

2015

Journal of Cleaner Production

Self Cite

View full text Add to dashboard Cite

a b s t r a c tThe method for high accuracy surface modeling (HASM), inverse distance weighting (IDW) and ordinary Kriging (OK) are used to fill voids on XCO 2 surfaces of GOSAT and SCIAMACHY. Inner voids and boundary voids are artificially made by cleaning out the downloaded data, where there are no voids, in different latitude belts of the northern hemisphere and the southern hemisphere at random. The cleaned-out data in the artificial voids are selected as the 'true' values for verification. The results demonstrated that HASM always has the highest accuracy compared with the classical methods of IDW and OK, whether voids are inner ones or boundary ones, data sets are from GOSAT or from SCIAMACHY, and the void areas are larger or smaller. HASM is an alternative approach to filling voids on XCO 2 surfaces from the satellites.

show abstract

Climate change trend in China, with improved accuracy

Cited by 86 publications

References 9 publications

Dominance of climate warming effects on recent drying trends over wet monsoon regions

Dominance of climate warming effects on recent drying trends over wet monsoon regions

Surface modeling of soil antibiotics

A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification

Contact Info

Product

Resources

About