Literature DB >> 28742066

A comprehensive data set of lake surface water temperature over the Tibetan Plateau derived from MODIS LST products 2001-2015.

Wei Wan1,2, Huan Li1,2, Hongjie Xie3, Yang Hong1,2,4, Di Long1,2, Limin Zhao5,6, Zhongying Han1,2, Yaokui Cui1,2, Baojian Liu7, Cunguang Wang1,2, Wenting Yang1,2.   

Abstract

Lake surface water temperature (LSWT) is sensitive to long-term changes in thermal structure of lakes and regional air temperature. In the context of global climate change, recent studies showed a significant warming trend of LSWT based on investigating 291 lakes (71% are large lakes, ≥50 km2 each) globally. However, further efforts are needed to examine variation in LSWT at finer regional spatial and temporal scales. The Tibetan Plateau (TP), known as 'the Roof of the World' and 'Asia's water towers', exerts large influences on and is sensitive to regional and even global climates. Aiming to examine detailed changing patterns and potential driven mechanisms for temperature variations of lakes across the TP region, this paper presents the first comprehensive data set of 15-year (2001-2015) nighttime and daytime LSWT for 374 lakes (≥10 km2 each), using MODIS (Moderate Resolution Imaging Spectroradiometer) Land Surface Temperature (LST) products as well as four lake boundary shapefiles (i.e., 2002, 2005, 2009, and 2014) derived from Landsat/CBERS/GaoFen-1 satellite images. The data set itself reveals significant information on LSWT and its changes over the TP and is an indispensable variable for numerous applications related to climate change, water budget analysis (particularly lake evaporation), water storage changes, glacier melting and permafrost degradation, etc.

Entities:  

Year:  2017        PMID: 28742066      PMCID: PMC5525638          DOI: 10.1038/sdata.2017.95

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  5 in total

1.  Climate change. Sentinels of change.

Authors:  Craig E Williamson; Jasmine E Saros; David W Schindler
Journal:  Science       Date:  2009-02-13       Impact factor: 47.728

2.  A global database of lake surface temperatures collected by in situ and satellite methods from 1985-2009.

Authors:  Sapna Sharma; Derek K Gray; Jordan S Read; Catherine M O'Reilly; Philipp Schneider; Anam Qudrat; Corinna Gries; Samantha Stefanoff; Stephanie E Hampton; Simon Hook; John D Lenters; David M Livingstone; Peter B McIntyre; Rita Adrian; Mathew G Allan; Orlane Anneville; Lauri Arvola; Jay Austin; John Bailey; Jill S Baron; Justin Brookes; Yuwei Chen; Robert Daly; Martin Dokulil; Bo Dong; Kye Ewing; Elvira de Eyto; David Hamilton; Karl Havens; Shane Haydon; Harald Hetzenauer; Jocelyne Heneberry; Amy L Hetherington; Scott N Higgins; Eric Hixson; Lyubov R Izmest'eva; Benjamin M Jones; Külli Kangur; Peter Kasprzak; Olivier Köster; Benjamin M Kraemer; Michio Kumagai; Esko Kuusisto; George Leshkevich; Linda May; Sally MacIntyre; Dörthe Müller-Navarra; Mikhail Naumenko; Peeter Noges; Tiina Noges; Pius Niederhauser; Ryan P North; Andrew M Paterson; Pierre-Denis Plisnier; Anna Rigosi; Alon Rimmer; Michela Rogora; Lars Rudstam; James A Rusak; Nico Salmaso; Nihar R Samal; Daniel E Schindler; Geoffrey Schladow; Silke R Schmidt; Tracey Schultz; Eugene A Silow; Dietmar Straile; Katrin Teubner; Piet Verburg; Ari Voutilainen; Andrew Watkinson; Gesa A Weyhenmeyer; Craig E Williamson; Kara H Woo
Journal:  Sci Data       Date:  2015-03-17       Impact factor: 6.444

3.  A lake data set for the Tibetan Plateau from the 1960s, 2005, and 2014.

Authors:  Wei Wan; Di Long; Yang Hong; Yingzhao Ma; Yuan Yuan; Pengfeng Xiao; Hongtao Duan; Zhongying Han; Xingfa Gu
Journal:  Sci Data       Date:  2016-06-21       Impact factor: 6.444

4.  Diel Surface Temperature Range Scales with Lake Size.

Authors:  R Iestyn Woolway; Ian D Jones; Stephen C Maberly; Jon R French; David M Livingstone; Donald T Monteith; Gavin L Simpson; Stephen J Thackeray; Mikkel R Andersen; Richard W Battarbee; Curtis L DeGasperi; Christopher D Evans; Elvira de Eyto; Heidrun Feuchtmayr; David P Hamilton; Martin Kernan; Jan Krokowski; Alon Rimmer; Kevin C Rose; James A Rusak; David B Ryves; Daniel R Scott; Ewan M Shilland; Robyn L Smyth; Peter A Staehr; Rhian Thomas; Susan Waldron; Gesa A Weyhenmeyer
Journal:  PLoS One       Date:  2016-03-29       Impact factor: 3.240

5.  Homogenised daily lake surface water temperature data generated from multiple satellite sensors: A long-term case study of a large sub-Alpine lake.

Authors:  Sajid Pareeth; Nico Salmaso; Rita Adrian; Markus Neteler
Journal:  Sci Rep       Date:  2016-08-09       Impact factor: 4.379

  5 in total
  4 in total

1.  A long-term dataset of lake surface water temperature over the Tibetan Plateau derived from AVHRR 1981-2015.

Authors:  Baojian Liu; Wei Wan; Hongjie Xie; Huan Li; Siyu Zhu; Guoqing Zhang; Lijuan Wen; Yang Hong
Journal:  Sci Data       Date:  2019-05-02       Impact factor: 6.444

2.  Analysis of surface temperature variation of lakes in China using MODIS land surface temperature data.

Authors:  Cong Xie; Xin Zhang; Long Zhuang; Ruixi Zhu; Jie Guo
Journal:  Sci Rep       Date:  2022-02-14       Impact factor: 4.379

3.  Global spatiotemporally continuous MODIS land surface temperature dataset.

Authors:  Pei Yu; Tianjie Zhao; Jiancheng Shi; Youhua Ran; Li Jia; Dabin Ji; Huazhu Xue
Journal:  Sci Data       Date:  2022-04-01       Impact factor: 6.444

4.  Unraveling the diversity of sedimentary sulfate-reducing prokaryotes (SRP) across Tibetan saline lakes using epicPCR.

Authors:  Huayu Qin; Shang Wang; Kai Feng; Zhili He; Marko P J Virta; Weiguo Hou; Hailiang Dong; Ye Deng
Journal:  Microbiome       Date:  2019-05-04       Impact factor: 14.650

  4 in total

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