Arctic Research Directory

ID-118 :   ALERA2

Type

MODEL

Title

ALERA2

Abstract

AFES–LETKF experimental ensemble reanalysis 2 produced on the Earth Simulator.

Model Characteristics

AFES (AGCM for the Earth Simulator) is run at a resolution of T119L48 (about 100 km in the horizontal and 48 layers in the vertical). The PREPBUFR complied by the National Centers for Environmental Prediction (NCEP) and archived at the University Corporation for Atmospheric Research (UCAR) is used for the observational data and assimilated using the LETKF (local ensemble transform Kalman filter).

Principal Investigator

Jun Inoue
National Institute of Polar Research
inoue.jun@nipr.ac.jp

JSPS KAKENHI Grant Number

18H03745, 18KK0292

Funding Information Other Funding Details

ArCS Theme 1 : Predictability study on weather and sea-ice forecasts linked with user engagement

Data Information

Model Name
AFES
Abstract (Brief description of the experiment contents (initial conditions, boundary conditions, etc.))
Administration daily 0.25 Optimal Interpolation Sea-Surface Temperature (OISST) version 2 was used for ocean and sea ice boundary conditions. Seven and 8 reanalysis datsest were made for each study. 1) 01/DEC/2015-31/MAR/2016 CTL included all PREPBUFR data. OSE_B, OSE_Ba, OSE_E, OSE_J, OSE_L excluded additional radiosonde observation data at each station (Bear Island, Barrow, Eureka, Jan Mayen, and RV Lance). OSE excluded these all additional radiosonde observation data. 2) 26/JUL/2016-30/AUG/2016 CTL included all PREPBUFR and radiosonde observations from RVs Polarstern, Araon and Branova station. OSE_B, OSE_A, OSE_P OSE_MID and OSE_TRO excluded additional radiosonde observation data at each station (RVs Polarstern and Araon, Branova stationm midlatitude and tropical stations). 3) 15/AUG/2016-28/SEP/2016 CTL included all PREPBUFR and radiosonde observations from RV Mirai, Global Hawk and Canadian stations. OSE_M, OSE_G, OSE_C excluded additional radiosonde observation data at each station (RV Mirai, Global hawk and Canadian stations). OSE_MGC excluded these all additional radiosonde observation data.
Temporal Extent
Begin Date2015-12-01
End Date2016-10-31
Temporal Characteristics6 hourly
Geographic Bounding Box
North bound latitude90.0
West bound longitude0.0
Eastbound longitude360.0
South bound latitude-90.0
Grid
Dimension NameDimension Size (slice number of the dimension)Resolution Unit
row2881.25 (deg)
column145T119L48 gaussian grid (deg)
vertical181000, 925, 850, 775, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20, 10 (hPa)
Data Information
Data is distributed through GrADS Data Server. Use DODS-enabled applications, such as GrADS or NCL for visualization and NCO (ncks) to slice and download data. Meta data is displayed when accessed with a web browser.
Related URL
Article (the article written using this data)
1) Sato, K., J. Inoue, A. Yamazaki, J.-H. Kim, M. Maturilli, K. Dethloff, S. R. Hudson, and M. A. Granskog (2017), Improved forecasts of winter weather extremes over midlatitudes with extra Arctic observations, J. Geophys. Res. Oceans, 122, 775–787, doi:10.1002/2016JC012197. 2) Sato, K., J. Inoue, A. Yamazaki, J.-H. Kim, A. Makshtas, V. Kustov, M. Maturilli, and K. Dethloff, 2018: Impact on predictability of tropical and mid-latitude cyclones by extra Arctic observations. Sci. Rep., 8, https://doi:10.1038/s41598-018-30594-4.

Personnel

RollContact PersonNameKazutoshi SatoAffiliationKitami Institute of TechnologyCountryJapanEmailsatokazu@mail.kitami-it.ac.jp
RollContact PersonNameJun InoueAffiliationNational Institute of Polar ResearchCountryJapanEmailinoue.jun@nipr.ac.jp
Data Registration
08:41 on Thu January 5, 2017
Last Update
13:35 on Wed May 29, 2019