Assessing estimates of evaporative demand in climate models using observed pan evaporation over China

Liu, Wenbin; Sun, Fubao

doi:10.1002/2016jd025166

Cited by 49 publications

(26 citation statements)

References 71 publications

(105 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, it sometimes underestimates the trend for a given time series (Yue et al, 2002). Hamed and Rao (1998) proposed a modified version of the MK test (MMK) to consider the lag-1 autocorrelation and related robustness of the autocorrelation through the use of equivalent sample size, which has been widely used in previous studies during the last 5 decades (McVicar et al, 2012;Liu and Sun, 2016). In the MMK approach, if the lag-1 autocorrelation coefficients are significantly distinct from zero, the original variance of MK statistics will be replaced by the modified one.…”

Section: Modified Mann-kendall Test Methodsmentioning

confidence: 99%

Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets

Liu

Sun

et al. 2018

Hydrol. Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. The dynamics of basin-scale water budgets over the Tibetan Plateau (TP) are not well understood nowadays due to the lack of in situ hydro-climatic observations. In this study, we investigate the seasonal cycles and trends of water budget components (e.g. precipitation P , evapotranspiration ET and runoff Q) in 18 TP river basins during the period 1982-2011 through the use of multi-source datasets (e.g. in situ observations, satellite retrievals, reanalysis outputs and land surface model simulations). A water balancebased two-step procedure, which considers the changes in basin-scale water storage on the annual scale, is also adopted to calculate actual ET. The results indicated that precipitation (mainly snowfall from mid-autumn to next spring), which are mainly concentrated during June-October (varied among different monsoons-impacted basins), was the major contributor to the runoff in TP basins. The P , ET and Q were found to marginally increase in most TP basins during the past 30 years except for the upper Yellow River basin and some sub-basins of Yalong River, which were mainly affected by the weakening east Asian monsoon. Moreover, the aridity index (PET/P ) and runoff coefficient (Q/P ) decreased slightly in most basins, which were in agreement with the warming and moistening climate in the Tibetan Plateau. The results obtained demonstrated the usefulness of integrating multi-source datasets to hydrological applications in the data-sparse regions. More generally, such an approach might offer helpful insights into understanding the water and energy budgets and sustainability of water resource management practices of data-sparse regions in a changing environment.

show abstract

Section: Modified Mann-kendall Test Methodsmentioning

confidence: 99%

Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets

Liu

Sun

et al. 2018

Hydrol. Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Previous studies have well established that the drying and wetting trends analysis depends on indices chosen and the estimations of potential evapotranspiration [Hobbins et al, 2008;Liu and Sun, 2016;Sheffield et al, 2012;Zhang et al, 2016]. Besides precipitation, drought indices are widely used, mainly including statistical drought indices (such as SPI and SPEI) and physical-based drought indices (such as PDSI and self-calibrating PDSI (sc_PDSI)) [Wells et al, 2004].…”

Section: Introductionmentioning

confidence: 99%

Robust drying and wetting trends found in regions over China based on Köppen climate classifications

et al. 2017

View full text Add to dashboard Cite

Controversial results in the drying and wetting trends were found with different indices and potential evapotranspiration calculations in previous studies. Here we make an attempt to find robust conclusions of drying and wetting trends over regions by coherent results of various independent indices by using China (1961–2012) as a study area. Precipitation, statistical, and physical drought indices, including the Standardized Precipitation Evapotranspiration Index (SPEI) and the Palmer Drought Severity Index (PDSI) and self‐calibrating PDSI (sc_PDSI), with both the Penman‐Monteith (PM) and Thornthwaite (TH) approaches in PDSI calculation are considered. In consequence, four PDSI variants of PDSI_pm, sc_PDSI_pm, PDSI_th, and sc_PDSI_th are involved. To illustrate regional characteristics, six climatic regions based on the Köppen climate classification are defined. At the national scale, precipitation and SPEI indicate wetting trends but all PDSI variants have drying trends. On the other hand, these six indices exhibit coherent results in five of these six regions. Increases in wetness occur in arid region and the Qinghai‐Tibet Plateau. Drying trends were found in semiarid and cold and temperate semihumid regions. Only the humid region in southeastern China is seen to have increasing precipitation and SPEI and decreasing PDSI variants. From the perspective of climatic regions, the drying trends mainly occur in the transition regions between the humid and arid regions in China. The spatial pattern of changes in droughts could be categorized by climatic zones, and the changes at regional scale are robust based on these six indices.

show abstract

“…The PnT method generally was found to be more accurate than Pn5 but less accurate than PnE. Uncertainty for the projected potential evaporation used in PnE method is high and is generally underestimated due to the underestimation of net radiation and overestimation of wind speed and errors from vapor pressure deficit and temperature estimation from multiple GCMs (Liu & Sun, ). The Pn5 method, with six climatic variables inputs, is likely to introduce more errors than the PnT method.…”

Section: Discussionmentioning

confidence: 99%

Deducing Climatic Elasticity to Assess Projected Climate Change Impacts on Streamflow Change across China

Liu

Zhang

et al. 2017

JGR Atmospheres

View full text Add to dashboard Cite

Climatic elasticity has been widely applied to assess streamflow responses to climate changes. To fully assess impacts of climate under global warming on streamflow and reduce the error and uncertainty from various control variables, we develop a four‐parameter (precipitation, catchment characteristics n, and maximum and minimum temperatures) climatic elasticity method named PnT, based on the widely used Budyko framework and simplified Makkink equation. We use this method to carry out the first comprehensive evaluation of the streamflow response to potential climate change for 372 widely spread catchments in China. The PnT climatic elasticity was first evaluated for a period 1980–2000, and then used to evaluate streamflow change response to climate change based on 12 global climate models under Representative Concentration Pathway 2.6 (RCP2.6) and RCP 8.5 emission scenarios. The results show that (1) the PnT climatic elasticity method is reliable; (2) projected increasing streamflow takes place in more than 60% of the selected catchments, with mean increments of 9% and 15.4% under RCP2.6 and RCP8.5 respectively; and (3) uncertainties in the projected streamflow are considerable in several regions, such as the Pearl River and Yellow River, with more than 40% of the selected catchments showing inconsistent change directions. Our results can help Chinese policy makers to manage and plan water resources more effectively, and the PnT climatic elasticity should be applied to other parts of the world.

show abstract

Assessing estimates of evaporative demand in climate models using observed pan evaporation over China

Cited by 49 publications

References 71 publications

Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets

Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets

Robust drying and wetting trends found in regions over China based on Köppen climate classifications

Deducing Climatic Elasticity to Assess Projected Climate Change Impacts on Streamflow Change across China

Contact Info

Product

Resources

About