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Chunlin Huang

Researcher at Chinese Academy of Sciences

Publications -  112
Citations -  2619

Chunlin Huang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Snow & Data assimilation. The author has an hindex of 25, co-authored 98 publications receiving 1927 citations. Previous affiliations of Chunlin Huang include Houston Museum of Natural Science & Nanjing University.

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Emerging role of wetland methane emissions in driving 21st century climate change.

TL;DR: It is found that climate change-induced increases in boreal wetland extent and temperature-driven increases in tropical CH4 emissions will dominate anthropogenicCH4 emissions by 38 to 56% toward the end of the 21st century under the Representative Concentration Pathway (RCP2.6) and climate mitigation policies must consider mitigation of wetland CH4 feedbacks to maintain average global warming below 2 °C.
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Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter

TL;DR: In this paper, a one-dimensional land data assimilation scheme based on ensemble Kalman filter and Common Land Model version 3.0 was developed to improve the estimation of soil temperature profile.
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Experiments of one-dimensional soil moisture assimilation system based on ensemble Kalman filter

TL;DR: In this paper, the authors developed a one-dimensional soil moisture data assimilation system based on ensemble Kalman filter, the Simple Biosphere Model (SiB2) and microwave radiation transfer model (AIEM, advanced integration equation model).
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Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland

TL;DR: In this article, a model based on the Energy Balance method was used to calculate daily evapotranspiration (ET) using instantaneous observations of land surface reflectance and temperature from MODIS when the data were available on clouds-free days.
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Spatio-temporal variations in water use efficiency and its drivers in China over the last three decades

TL;DR: In this article, the authors used process-based models simulated gross primary productivity (GPP) and evapotranspiration (ET) data to estimate the ecosystem WUE (eWUE, GPP/ET) in China for 1979-2012.