scholarly journals Spatiotemporal variation of actual evapotranspiration and its response to change of major meteorological factors over China using multi-source data

Author(s):  
Jiahui Yang ◽  
Wen Wang ◽  
Tiantian Hua ◽  
Min Peng

Abstract Evapotranspiration (ET) is an important component of water and energy cycle. To obtain more accurate actual ET estimation, three commonly used actual ET products (i.e., GLEAM, GLDAS, and SSEBop) are merged by the simple Taylor skill score fusion method. Validation results show that the merged actual ET data exhibit better correlation with eddy-covariance ET observation than single-source ET data. Based on the merged ET, the spatiotemporal variations of ET over China and their links to changes of three meteorological factors, i.e., precipitation, air temperature (Ta), and shortwave radiation (Rs), are analyzed. During 2003–2016, there is a general upward trend in ET with an increase rate of 1.6 mm/year over China. ET increases very significantly in northeastern China, the southern coastal region, and the northwestern corner of China, whereas it decreases significantly in Huang-Huai-Hai Plain. There is a clear spatial pattern of the relationship between ET and its driving factors, i.e., the variation of ET in the humid southeast is dominated by Ta and Rs; in the semi-humid and semi-arid zone, the variation of ET is controlled mainly by precipitation, followed by Ta; and in arid northwestern China, the variation of ET is controlled mainly by precipitation.

2021 ◽  
pp. 76-78
Author(s):  
Nicolay A. Morozov ◽  
Alexander I. Khripunov ◽  
Elena N. Obshchiya

Relevance. Agro climatic conditions play a decisive role in the formation of the yield of the green mass of sainfoin. Therefore, knowledge of the mechanism of the relationship between the plant and the external environment is relevant.Materials and methods. The experiment was carried out in 1971–2020 in the department of agriculture at the Prikumskaya experimental selection station. The aim of the research was to identify the influence of some agro meteorological factors on the yield of sainfoin on green fodder in the arid conditions of the Stavropol Territory.Results. Analysis of meteorological factors over 50 years of research indicates the cyclical nature of their development in time. At the same time, a steady increase in the average annual air temperature (1.2 °C) and the annual sum of active temperatures (248 °C) was revealed. The entire growing season from April to October is dry (Hydrothermal Moisture Coefficient = 0.69), but the driest period is from July to October (Hydrothermal Moisture Coefficient = 0.55). The size of the green mass of sainfoin yield mathematically reliably depends on the amount of precipitation in August-May (r = 0.55), March-May (r = 0.47) and March (r = 0.40). The amount of precipitation in August-May in 16% of years was less than 250 mm, in 24% of years 251–301 mm, in 26% of years 302–352 and 353–403 mm and in 8% of years more than 404 mm. In March-May, in 74% of years, precipitation was 61–153 mm, in 20% of years more than 154 mm, and in March in 66% of years it dropped to 33 mm, in 22% of years 34–48 mm and in 12% of years more than 49 mm. Productivity depends not only on the amount of precipitation in the most crucial periods of ontogenesis, their distribution during the growing season, but also on many other factors. The range of yield variation with the same amount of precipitation in August-May was 13.74 — 34.11 t / ha.


2014 ◽  
Vol 10 (8) ◽  
pp. 2421-2432 ◽  
Author(s):  
Qiongying Yang ◽  
Zhicong Yang ◽  
Haiyuan Ding ◽  
Xiao Zhang ◽  
Zhiqiang Dong ◽  
...  

2014 ◽  
Vol 14 (2) ◽  
pp. 427-441 ◽  
Author(s):  
M. C. Llasat ◽  
M. Turco ◽  
P. Quintana-Seguí ◽  
M. Llasat-Botija

Abstract. A heavy precipitation event swept over Catalonia (NE Spain) on 8 March 2010, with a total amount that exceeded 100 mm locally and snowfall of more than 60 cm near the coast. Unusual for this region and at this time of the year, this snowfall event affected mainly the coastal region and was accompanied by thunderstorms and strong wind gusts in some areas. Most of the damage was due to "wet snow", a kind of snow that favours accretion on power lines and causes line-breaking and subsequent interruption of the electricity supply. This paper conducts an interdisciplinary analysis of the event to show its great societal impact and the role played by the recently developed social networks (it has been called the first "Snowfall 2.0"), as well to analyse the meteorological factors associated with the major damage, and to propose an indicator that could summarise them. With this aim, the paper introduces the event and its societal impact and compares it with other important snowfalls that have affected the Catalan coast, using the PRESSGAMA database. The second part of the paper shows the event's main meteorological features and analyses the near-surface atmospheric variables responsible for the major damage through the application of the SAFRAN (Système d'analyse fournissant des renseignements atmosphériques à la neige) mesoscale analysis, which, together with the proposed "wind, wet-snow index" (WWSI), allows to estimate the severity of the event. This snow storm provides further evidence of our vulnerability to natural hazards and highlights the importance of a multidisciplinary approach in analysing societal impact and the meteorological factors responsible for this kind of event.


2019 ◽  
Vol 40 (7) ◽  
pp. 3467-3485 ◽  
Author(s):  
Zhigao Zhou ◽  
Aiwen Lin ◽  
Lunche Wang ◽  
Wenmin Qin ◽  
Yang zhong ◽  
...  

Weather ◽  
2018 ◽  
Vol 74 (4) ◽  
pp. 148-153 ◽  
Author(s):  
Xuewen Li ◽  
Ning Wang ◽  
Guoyong Ding ◽  
Xiaomei Li ◽  
Xiaojia Xue

2014 ◽  
Vol 535 ◽  
pp. 360-363 ◽  
Author(s):  
Ying Ying Xu ◽  
Bai Xing Yan ◽  
Hui Zhu

Dew is one of crucial factors in the water and nutrient cycle in wetland ecosystem, especially playing an important role in the water and nutrients balance. Identifying the meteorological factors which affect the formation of dew is necessary. The meteorological condition is the key factor of dew condensing; therefore, it is necessary to identify the relationship between meteorological factors and dew formation. Dew amount was monitored and collected in the Sanjiang Plain. The highest mean dew amounts at Sanjiang Plain were observed in Craex lasiocarpa community (0.130mm night-1). Nearly 50% dew events correspond to the smallest yields (<0.04 mm="" night="" sup="">-1) and it is implies there are around half days are unsuitable for dew condensation in Craex lasiocarpa community. Our study impies that dew data, taken in growthing season of 2003 to 2005 and 2008, correlated positive with relative humidity, dew point temperature, and vapour pressure.


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