Global Soil Wetness Project Phase 3 Atmospheric Boundary Conditions (Experiment

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1 Global Soil Wetness Project Phase 3 Atmospheric Boundary Conditions (Experiment 1) 1. IDENTIFICATION INFORMATION Edition Version 1 Abbreviation DOI Metadata Identifier 2. CONTACT Global Soil Wetness Project Phase 3 Atmospheric Boundary Conditions (Experiment 1) GSWP3.E1-ABC 2.1 CONTACT on DATASET doi: /dias.501 [ GSWP3_EXP1_Forcing DIAS en Hyungjun Kim Institute of Industrial Science, The University of Tokyo Address Be607, Komaba, Tokyo, Tokyo, , Japan TEL FAX hjkim@iis.u-tokyo.ac.jp 2.2 CONTACT on PROJECT Data Integration and Analysis System DIAS Office Remote Sensing Technology Center of Japan Address TOKYU REIT Toranomon Building 2F Toranomon, Minato-ku, Tokyo, , Japan dias-office@diasjp.net 3. DOCUMENT AUTHOR Hyungjun Kim Institute of Industrial Science, The University of Tokyo 1

2 4. DATASET CREATOR Hyungjun Kim Institute of Industrial Science, The University of Tokyo 5. DATE OF THIS DOCUMENT DATE OF DATASET creation : DATASET OVERVIEW 7.1 Abstract retrospective atmospheric ary conditions (9 variables: Rainfall, Snowfall, 2m Air Temperature, 2m Specific Humidity, Surface Pressure, Downward Shortwave Radiation, Downward Longwave Radiation, 10m Wind Speed, and Cloud Cover Fraction) for in 3-hourly resolution are generated. 20th Century Reanalysis (20CR) [compo2011] [Compo el al., 2011] on global 2 resolution is dynamically downscaled into T248 (~0.5 ) grid using a spectral nudging technique [Yoshimura and Kanamitsu 2008] in a Global Spectral Model (GSM) [Figure 2]. This successfully keeps the low frequency signal of original reanalysis, providing additional high frequency signals, which are lacking in previous products [e.g., Weedon et al., 2011]. It is essential to investigate phenomena at higher spatiotemporal scales such as extreme events. In order to relieve known artifacts (e.g., ripple patterns and persistent overcast in high latitude region), additional techniques, such as single ensemble correction [Yoshimura and Kanamitsu, 2013] and vertically weighted damping [Hong and Chang, 2012], are applied. Model biases in the downscaled 20CR are corrected using observational data (e.g., GPCC for precipitation, SRB for short/long wave radiation, and CRU for air temperature and daily temperature range). In addition to previously introduced bias correction algorithms [e.g., Weedon et al., 2011], variability in higher temporal (<month) resolution is carefully corrected [Kim et al., in preparation]. Also, wind-induced precipitation undercatch correction is applied considering different types of gauges and their global distribution [Hirabayashi et al., 2008]. Through the above mentioned data generation strategy, GSWP3 has further reliability and consistency over the century long target timespan with higher spatiotemporal resolutions. 7.2 Topic Category(ISO19139) climatologymeteorologyatmosphere 7.3 Temporal Extent Begin Date End Date Temporal Characteristics 3hourly 2

3 7.4 Geographic Bounding Box North latitude West longitude East longitude South latitude 7.5 Grid Dimension Dimension Size (slice number of the dimension) Resolution Unit time (minute) row (deg) column (deg) 7.6 Geographic Description 7.7 Keywords Keywords on Dataset Keyword Type Keyword Keyword thesaurus discipline Keywords on Project GSWP3, Forcing Data, Surface Climate, Surface Meteorology others Data Integration and Analysis System Keyword Type Keyword Keyword thesaurus theme DIAS > Data Integration and Analysis System No_Dictionary 7.8 Online Resource Please contact data creator to obtain the authentication information : gswp3/input.html 7.9 Data Environmental Information 3

4 7.10 Distribution Information name version specification netcdf4 E1V1 8. DATA PROCESSING 9. DATA REMARKS 10. USE CONSTRAINTS 10.1 Data Policy by Data Provider Limited Access until Project Accomplishment (CC-BY 4.0 afterward; planned) 10.2 Data Policy for Project Data Integration and Analysis System The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply. 1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist 2. The use of DIAS data sets is limited to research and educational purposes [*1] 3. Users shall not modify the content of DIAS data sets 4. Users shall not provide the content of DIAS data sets to third parties 5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation 6. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall submit a copy of the work (an offprint in the case of a paper, or a copy of the lecture summary in the case of an oral or poster presentation) to the DIAS office below [*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact the DIAS Office for more details. [DIAS Office] dias-office@diasjp.net Remote Sensing Technology Center of Japan TOKYU REIT Toranomon Building 2F Toranomon, Minato-ku, Tokyo, Disclaimer for Project Data Integration and Analysis System 1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used. 4

5 2. DIAS data and related information are subject to change without any prior notice. 3. DIAS data sets provided are not supported for any additional processing or analysis. 11 ACKNOWLEDGEMENT 11.1 Dataset Acknowledgement 11.2 Project Acknowledgement Data Integration and Analysis System Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements. "The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)." 12. REFERENCES Copyright(c) Data Integration & Analysis System (DIAS) All Rights Reserved. This project is supported by "Data Integration & Analysis System" funded by MEXT, Japan 5