Observed decreasing trend in pan evaporation in a tropical rainforest region during 1959–2021

Author:

Jin Yan1ORCID,Zhang Ying2,Yang Xin1,Zhang Mou1,Guo Xin-Bo1,Deng Yun34ORCID,Hu Yue-Hua3,Lu Hua-Zheng34,Tan Zheng-Hong1ORCID

Affiliation:

1. School of Ecology and Environmental Science, Yunnan University , Kunming 650091 , China

2. International Center for Climate and Environment Sciences, Institution of Atmospheric Physics, Chinese Academy of Sciences , Beijing 100029 , China

3. CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences , Mengla, Menglun 666303 , China

4. Center for Plant Ecology, Core Botanical Gardens, Chinese Academy of Sciences , Mengla, Menglun 666303 , China

Abstract

Abstract Pan evaporation (Epan) is a critical measure of the atmospheric evaporation demand. Analyzing meteorological data from the Tropical Rainforest Comprehensive Meteorological Observation Field in the Xishuangbanna Tropical Botanical Garden (XTBG Meteorological Observing Station) based on physical models is helpful to improve our understanding of the state of the hydrological cycle in the Xishuangbanna tropical rainforest region. In this study, we investigated the long-term trend in Epan using the observation data from 1959 to 2021. Moreover, correlation analyses of Epan were performed, such as trend test, assessment of periodic properties and abrupt change analysis. Then, D20 Epan data and related meteorological data from 1979 to 2008 were used to drive Penman‒Monteith and PenPan models for simulating Epan. The partial derivative attribution method was used to analyze the dominant factors affecting Epan. The results showed that Epan exhibits obvious periodic changes, the 19a is the first primary period. In addition, there was a clear ‘evaporation paradox’ phenomenon in Xishuangbanna. Epan showed a decreasing trend during both 1959–2008 and 2009–2018, and the decreasing trend reached a significant level with a rate of −3.404 mm·a−2 during 1959–2008. Through comparative analysis, the PenPan model was considered more suitable for simulating Epan in Xishuangbanna. In order to identify the main meteorological factors influencing Epan, complete data from the D20 pan monitoring period, namely, 1979–2008, were selected for attribution calculations. The variations in the net radiation and saturated vapor pressure deficit are the main triggers that explain the ‘evaporation paradox’ phenomenon in Xishuangbanna.

Funder

National Natural Science Foundation of China

Major Program of Basic Research Project of Yunnan Province

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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