Comparison of monthly precipitation derived from high-resolution gridded datasets in arid Xinjiang, central Asia

Zhu, Xiaofan; Zhang, Mingjun; Wang, Shengjie; Fang, Qiang; Ting, Zeng; Ren, Zhengguo; Dong, Lei

doi:10.1016/j.quaint.2014.12.027

Cited by 51 publications

(32 citation statements)

References 34 publications

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“…The precipitation P data of the atmospheric and off‐line land data sets vary considerably, as shown in Figure . “Rain Gauge” refers to the gridded P at 0.5° × 0.5° based on meteorological observations collected from 2479 weather stations in China (available at http://cdc.cma.gov.cn) [ Guo et al ., ; Ren et al ., ; Zhu et al ., ]; this variable can be considered observational data. The atmospheric P data (ERA‐I and MERRA) differ from the rain‐gauged P , whereas the off‐line land P data (ERA‐I/Land and MERRA/Land), and the MERRA/Land data in particular, are more consistent with the observed P .…”

Section: Resultsmentioning

confidence: 99%

Comparison of evapotranspiration estimates based on the surface water balance, modified Penman‐Monteith model, and reanalysis data sets for continental China

Mao

Wang

2017

JGR Atmospheres

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Evapotranspiration (ET) combines the land‐atmosphere water, energy, and carbon cycles and plays a critical role in climate studies. However, ET is difficult to quantify accurately. This study compares three 1982–2013 ET data sets for China based on surface water balance values, a modified Penman‐Monteith (MPM) model and reanalysis data. Water balance ET data, which have been widely used as benchmark data for regional ET, were calculated with and without considering reservoir water storage. MPM ET values were calculated from combinations of input data from different sources, including solar radiation and meteorological data. The MPM model is primarily energy determined, although the impacts of vegetation, soil moisture, air temperature, and wind speed on ET are also considered. The reanalysis ET data used in this study are derived from atmospheric and off‐line land reanalyses. We examined their spatial patterns, interannual variabilities, trends, and key drivers. We found that MPM ET is consistent with water balance ET in detecting ET trends for 1997 to 2013, whereas reanalysis ET is not. The trends and interannual variabilities of ET found via reanalyses are primarily determined by precipitation patterns. However, the precipitation data derived from the atmospheric reanalyses present significant uncertainties. Off‐line land reanalyses correct these biases but do not consider terrestrial water storage changes resulting from reservoir construction and interannual variability in vegetation. Both omissions may produce unreliable trends of ET in reanalyses for China. This study will help improve current ET simulations and contribute to further extending climate studies.

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Section: Resultsmentioning

confidence: 99%

Comparison of evapotranspiration estimates based on the surface water balance, modified Penman‐Monteith model, and reanalysis data sets for continental China

Mao

Wang

2017

JGR Atmospheres

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“…As shown in Figure , water vapor flux is very small in winter, and surface air is dry and cold; in contrast, water vapor transport in summer is much stronger than that in winter. Consistent with the seasonality of water vapor flux, most precipitation occurs during summer months from April to October [ Wang et al ., ; Zhu et al ., ].…”

Section: Methodsmentioning

confidence: 99%

Contribution of recycled moisture to precipitation in oases of arid central Asia: A stable isotope approach

Wang

Zhang

Che

et al. 2016

Water Resources Research

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117

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Terrestrial moisture contributed by surface evaporation and transpiration, also known as recycled moisture, plays an important role in hydrological processes especially across arid central Asia. The stable hydrogen and oxygen isotopes can be used for water budget analysis to calculate the contribution of recycled moisture to precipitation between two locations along the moisture flow. Based on a three-component isotopic mixing model, the moisture recycling in oasis stations of arid central Asia during summer months is assessed. At large oases of Urumqi, the proportional contribution of recycled moisture to local precipitation is approximately 16.2%, and the mean proportions of surface evaporation and transpiration are 5.9% 6 1.5% and 10.3% 6 2.2%, respectively. At small oases like Shihezi and Caijiahu the contribution of recycled moisture is less than 5%, and the proportion of surface evaporation is much less than that of transpiration. The vegetative cover in arid central Asia is generally sparse, but the evapotranspiration contribution to precipitation cannot be ignored at the widely distributed oases. The oasis effect shows great variability depending on locations and water availability for evapotranspiration.

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“…A precisão (0,62 ≤ r² ≤ 0,91 -GPCC e 0,52 ≤ r² ≤ 0,89 -UDEL) e exatidão (0,87 ≤ d ≤ 0,97 -GPCC e 0,82 ≤ r² ≤ 0,97 -UDEL) obtidas por esses autores para os produtos de precipitação foram superiores aos observados para a região de estudo do presente trabalho, com exceção das séries da UDEL nas estações de Itaperuna e Nova Friburgo. Zhu et al (2015) avaliaram os produtos em grade de precipitação do GPCC e UDEL para uma região árida da China (Xinjiang) para o período de 1979-2010 e reportaram r² inferiores ou superiores, dependendo da estação, aos observados no presente trabalho e entre 0,09 a 0,68 -UDEL e 0,08 a 0,72 -GPCC.…”

Section: Precipitaçãounclassified

Séries Climáticas Em Grade De Precipitação E Temperatura Do Ar Em Região De Relevo Complexo

Santos

Prado

Lyra

et al. 2018

ABClima

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Avaliaram-se séries climáticas (1960-91) de precipitação e temperatura do ar mensal de produtos em grade em relação às séries desses elementos observadas em estações meteorológicas do estado do Rio de Janeiro. As séries climáticas observadas foram obtidas nas estações do Instituto Nacional de Meteorologia, localizadas no estado do Rio de Janeiro. As séries dos produtos em grade foram extraídas nos pontos de grade (resolução 0,5 o x 0,5o) dos produtos do Global Precipitation Climatology Center (GPCC), The Global Historical Climatology Network (GHCN) ou Universidade de Delaware (UDEL) mais próximos das estações em estudo. Avaliou-se a precisão (coeficiente de determinação – r²) e exatidão (índice de concordância de Willmott – d e Raiz do Quadrado Médio do Erro - RQME) de cada produto em grade em relação às séries observadas. Os produtos em grade de precipitação (GPCC e UDEL) não tiveram precisão satisfatória (r² < 0,54 - GPCC e r² < 0,61 - UDEL), contudo sua exatidão (d > 0,59 - GPCC e d > 0,58 - UDEL) foi superior à precisão. Os erros observados para precipitação foram entre 59,5 e 125,8 mm. As séries em grade de temperatura tiveram maior precisão (r² > 0,41 - GHCN e r² > 0,35 - UDEL) e exatidão similar (d > 0,58 - GHCN e d > 0,65 - UDEL), com RQME entre 1,11 e 3,98 oC. Foram identificadas associações que elevam o erro dos produtos em grade para a região, tais como, o elevado gradiente altitudinal da área de estudo e o efeito continentalidade/maritimidade. Dentre os produtos em grade de precipitação, o GPCC apresentou melhor desempenho (maior precisão e exatidão) em relação à UDEL na maior parte das estações, enquanto para temperatura do ar, as séries em grade da UDEL se sobressaíram em comparação ao GHCN. É necessário desenvolver produtos climáticos de precipitação e temperatura do ar em grade precisos e exatos com alta resolução para o estado do Rio de Janeiro.

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Comparison of monthly precipitation derived from high-resolution gridded datasets in arid Xinjiang, central Asia

Cited by 51 publications

References 34 publications

Comparison of evapotranspiration estimates based on the surface water balance, modified Penman‐Monteith model, and reanalysis data sets for continental China

Comparison of evapotranspiration estimates based on the surface water balance, modified Penman‐Monteith model, and reanalysis data sets for continental China

Contribution of recycled moisture to precipitation in oases of arid central Asia: A stable isotope approach

Séries Climáticas Em Grade De Precipitação E Temperatura Do Ar Em Região De Relevo Complexo

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