Bias-corrected d4PDF historical and non-warming climate data


The citation for this dataset is:
Toshichika Iizumi. (2018). Bias-corrected d4PDF historical and non-warming climate data [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.544
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IDENTIFICATION INFORMATION

Name Bias-corrected d4PDF historical and non-warming climate data
DOI doi:10.20783/DIAS.544
Metadata Identifier d4PDF_CDFDM_S14FD20181216230602-DIAS20180903143952-en

CONTACT

CONTACT on DATASET

Name Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
Address 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
TEL 029-838-8435
E-mail iizumit@affrc.go.jp

CONTACT on PROJECT

Data Integration and Analysis System

Name DIAS Office
Organization Remote Sensing Technology Center of Japan
Address TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
E-mail iizumit@affrc.go.jp

DATASET CREATOR

Name Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
E-mail iizumit@affrc.go.jp

DATE OF THIS DOCUMENT

2018-12-16

DATE OF DATASET

  • publication : 2018-07-23

DATASET OVERVIEW

Abstract

The bias-corrected d4PDF dataset offers daily data of 10 climatic variables over the globe from 1951 to 2010. Data from the historical experiment and non-warming counterfactual simulation are available (at this moment, there is no plan to conduct bias-correction of data from the +4 degC experiment). See Shiogama et al. (2016), Mizuta et al. (2017) and Imada et al. (2017) for details on the original d4PDF database. For each simulation, data for 100-member ensemble are available. The data over the sea and Antarctica are not bias-corrected (i.e., the raw data of the MRI-AGCM3.2 (Mizuta et al., 2012) were used), whereas those over the land are bias-corrected using S14FD meteorological forecing dataset (doi:10.20783/DIAS.523) as the baseline. Variables include daily mean 2m air temperature (tave2m, °C), daily maximum 2m air temperature (tmax2m, °C), daily minimum 2m air temperature (tmin2m, °C), daily total precipitation (precsfc, mm d-1), daily mean downward shortwave radiation flux (dswrfsfc, W m-2), daily mean downward longwave radiation flux (dlwrfsfc, W m-2), daily mean 2m relative humidity (rh2m, %), daily mean 2m specific humidity (spfh2m, kg kg-1), daily mean 10m wind speed (wind10m, m s-1) and daily mean surface pressure (pressfc, hPa).

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1951-01-01
End Date 2010-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 90
West bound longitude 0
Eastbound longitude 360
South bound latitude -90

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
column 720 0.5 (deg)
row 360 0.5 (deg)
vertical 1 1 (level)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme [Atmosphere ] > [Atmospheric Temperature ] > [Air Temperature ], [Atmosphere ] > [Precipitation ] > [Precipitation Amount ], [Atmosphere ] > [Atmospheric Radiation ] > [Incoming Solar Radiation ], [Atmosphere ] > [Atmospheric Radiation ] > [Longwave Radiation ], [Atmosphere ] > [Atmospheric Water Vapor ] > [Humidity ], [Atmosphere ] > [Atmospheric Pressure ] > [Surface Pressure ] GCMD_science

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

Distribution Information

name version specification
NetCDF 4

DATA PROCESSING

Data Processing (1)

General Explanation of the data producer's knowledge about the lineage of a dataset

Daily data for the 1961–2000 period derived from the S14FD forcing dataset were used as the baseline. Information on the errors associated with the AGCM was derived using a single member of the factual simulations (labeled “HPB_m001” in the d4PDF database), and the same error information was applied to the other ensemble members of the factual and counterfactual simulations.

Data Processing (2)

General Explanation of the data producer's knowledge about the lineage of a dataset

Dr. Shiogama, the National Institute for Environmental Studies, who is creating the original data, reported that the pre-correction file of the ground pressure data of HPB_m063 was damaged and that recalculation with the atmospheric model was carried out.We corrected the biased correction of recalculated barometric pressure data. HPB_m063/pressfc.zip (2018/09/06)

USE CONSTRAINTS

Data Policy by Data Provider

It is requested to cite the reference (Iizumi et al., 2018) when the dataset is used.

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]

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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

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[*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]

E-mail: dias-office@diasjp.net

Remote Sensing Technology Center of Japan

TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001

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.

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.

ACKNOWLEDGEMENT

Dataset Acknowledgement

The original d4PDF database was produced under the SOUSEI programme sponsored by the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT).

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)."

REFERENCES

Mizuta, R., Yoshimura, H., Murakami, H., Matsueda, M., Endo, H., Ose, T., ... Kitoh, A. (2012). Climate simulations using MRI-AGCM with 20-km grid. Journal of the Meteorological Society of Japan, 90A, 235−260, https://doi.org/10.2151/jmsj.2012-A12.

Mizuta, R., Murata, A., Ishii, M., Shiogama, H., Hibino, K., Mori, N., ... Kimoto, M. (2017). Over 5000 years of ensemble future climate simulations by 60 km global and 20 km regional atmospheric models. Bulletin of the American Meteorological Society, 98, 1383–1398, https://doi.org/10.1175/BAMS-D-16-0099.1.

Shiogama, H., Imada, Y., Mori, M., Mizuta, R., Stone, D., Yoshida, K., ... Kimoto, M. (2016). Attributing historical changes in probabilities of record-breaking daily temperature and precipitation extreme events. SOLA, 12, 225−231, https://doi.org/10.2151/sola.2016-045.

Iizumi T, Shiogama H, Imada Y, Hanasaki N, Takikawa H, Nishimori M (2018) Crop production losses associated with anthropogenic climate change for 1981–2010 compared with preindustrial levels. International Journal of Climatology (accepted 23 July 2018).

Imada, Y., Maeda, S., Watanabe, M., Shiogama, H., Mizuta, R., Ishii, M., Kimoto, M. (2017). Recent enhanced seasonal temperature contrast in Japan from large ensemble high-resolution climate simulations. Atmosphere, 8, 57, doi:10.3390/atmos8030057.


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