The GRENE-TEA model intercomparison project (GTMIP) Stage 1 forcing data set

Here, the authors describe the construction of a forcing data set for land surface models (including both physical and biogeochemical models; LSMs) with eight meteorological variables for the 35-year period from 1979 to 2013. The data set is intended for use in a model intercomparison study, called...

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Bibliographic Details
Published in:Earth System Science Data
Main Authors: T. Sueyoshi, K. Saito, S. Miyazaki, J. Mori, T. Ise, H. Arakida, R. Suzuki, A. Sato, Y. Iijima, H. Yabuki, H. Ikawa, T. Ohta, A. Kotani, T. Hajima, H. Sato, T. Yamazaki, A. Sugimoto
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
Subjects:
geo
envir
Arctic
Fairbanks
Yakutsk
Tiksi
Kevo
Climate change
Online Access:https://doi.org/10.5194/essd-8-1-2016
http://www.earth-syst-sci-data.net/8/1/2016/essd-8-1-2016.pdf
https://doaj.org/article/9b16b45722e54d68b2bdf28bb15b5c59
Description
Summary:Here, the authors describe the construction of a forcing data set for land surface models (including both physical and biogeochemical models; LSMs) with eight meteorological variables for the 35-year period from 1979 to 2013. The data set is intended for use in a model intercomparison study, called GTMIP, which is a part of the Japanese-funded Arctic Climate Change Research Project. In order to prepare a set of site-fitted forcing data for LSMs with realistic yet continuous entries (i.e. without missing data), four observational sites across the pan-Arctic region (Fairbanks, Tiksi, Yakutsk, and Kevo) were selected to construct a blended data set using both global reanalysis and observational data. Marked improvements were found in the diurnal cycles of surface air temperature and humidity, wind speed, and precipitation. The data sets and participation in GTMIP are open to the scientific community (doi:10.17592/001.2015093001).

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