The GRENE-TEA Model Intercomparison Project (GTMIP) stage 1 forcing dataset ...

Here, the authors describe the construction of a forcing dataset 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 dataset is intended for use in a model intercomparison (MIP) study, cal...

Full description

Bibliographic Details
Main Authors: Sueyoshi, Tetsuo, Saito, Kazuyuki, Miyazaki, Shin, Mori, Junko, Ise, Takeshi, Arakida, Hazuki, Suzuki, Rikie, Sato, Atsushi, Iijima, Yoshihiro, Yabuki, Hironori, Ikawa, Hiroki, Ohta, Takeshi, Kotani, Ayumi, Hajima, Tomohiro, Sato, Hisashi, Yamazaki, Takeshi, Sugimoto, Atsuko
Format: Dataset
Language:English
Published: Arctic Data archive System (ADS), Japan 2015
Subjects:
ATMOSPHERE>ATMOSPHERIC WINDS>SURFACE WINDS>WIND SPEED
ATMOSPHERE>ATMOSPHERIC TEMPERATURE>SURFACE TEMPERATURE>AIR TEMPERATURE
ATMOSPHERE>ATMOSPHERIC WATER VAPOR>WATER VAPOR INDICATORS>HUMIDITY>SPECIFIC HUMIDITY
ATMOSPHERE>ATMOSPHERIC RADIATION>SHORTWAVE RADIATION
ATMOSPHERE>ATMOSPHERIC RADIATION>LONGWAVE RADIATION
ATMOSPHERE>PRECIPITATION>PRECIPITATION AMOUNT
BIOSPHERE>VEGETATION>PHOTOSYNTHETICALLY ACTIVE RADIATION>FRACTION OF ABSORBED PHOTOSYNTHETICALLY ACTIVE RADIATION FAPAR
BIOSPHERE>VEGETATION>VEGETATION INDEX>LEAF AREA INDEX LAI
Arctic
Fairbanks
Kevo
Tiksi
Yakutsk
Climate change
Online Access:https://dx.doi.org/10.17592/001.2015093001
https://ads.nipr.ac.jp/dataset/A20150930-001
Description
Summary:Here, the authors describe the construction of a forcing dataset 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 dataset is intended for use in a model intercomparison (MIP) 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 dataset 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 datasets and participation in GTMIP are open to the scientific community (https://ads.nipr.ac.jp/gtmip/gtmip.html). This data includes four data sets below. *L0 data: 34-year, ...

Similar Items