Global sowing and harvesting windows of major crops


The citation for this dataset is:
Toshichika Iizumi. (2018). Global sowing and harvesting windows of major crops [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.546
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IDENTIFICATION INFORMATION

Name Global sowing and harvesting windows of major crops
DOI doi:10.20783/DIAS.546
Metadata Identifier global_crop_calendar_200020210525124433-DIAS20210525095249-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 Japan Agency for Marine-Earth Science and Technology
Address 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, 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

2021-05-25

DATE OF DATASET

  • creation : 2018-07-04

DATASET OVERVIEW

Abstract

Using daily weather data for the period 1996–2005 as the inputs to a rule-based model, we derive calendars for maize, rice, winter and spring wheat and soybeans around the year 2000 with a spatial resolution of 0.5° in latitude and longitude. Winter and spring wheat and rainfed versus irrigated conditions are differentiated. Separate calendars for rainfed and irrigated conditions and three representative varieties (short-, medium- and long-season varieties) are estimated. The daily probabilities of sowing and harvesting derived using the model can be converted into sowing and harvesting windows, respectively, with user-defined thresholds.

Topic Category(ISO19139)

  • farming

Temporal Extent

Begin Date 2000-01-01
End Date 2000-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 90
West bound longitude -180
Eastbound longitude 180
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 (day)
vertical 1 1 (level)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme [Agriculture ] > [Agricultural Plant Science ] > [Cropping Systems ] 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

The rule-based model determines the potential sowing and harvesting dates of a crop of interest at a given location based on the sequence of rules and a 10-yr period of daily weather data. The rules describe climatic requirements in terms of heat, chilling, moisture and field workability. Rainfed and irrigated conditions are separately considered. The potential sowing date indicates days with a higher probability of completing the annual crop life cycle under a given weather pattern and soil hydrologic condition.

DATA REMARKS

We compared the SAGE and MIRCA2000 datasets with the modeled sowing and harvesting windows. The global data reported in USDA (1994) were also used because clear distinctions between multiple cropping seasons were available.

DATA POLICY

Data Policy by the Data Provider

Users are asked to cite the reference (Iizumi et al., in review) when the dataset is used.

Data Policy by the Project

Data Integration and Analysis System

If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/policy/) and DIAS Privacy Policy (https://diasjp.net/en/privacypolicy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Project

Data Integration and Analysis System

If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "

REFERENCES

Iizumi T, Kim W, and Nishimori M. Modeling the global sowing and harvesting windows of major crops around the year 2000. Agricultural and Forest Meteorology (in review).


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