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Part 1: Document Description
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Citation |
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Title: |
Asia - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060. |
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Identification Number: |
doi:10.7910/DVN/WZH2TK |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2025-03-19 |
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Version: |
1 |
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Bibliographic Citation: |
Mora Argoti, Brayan Alexander, 2025, "Asia - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/WZH2TK, Harvard Dataverse, V1 |
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Citation |
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Title: |
Asia - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060. |
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Identification Number: |
doi:10.7910/DVN/WZH2TK |
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Authoring Entity: |
Mora Argoti, Brayan Alexander (International Center for Tropical Agriculture - CIAT) |
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Other identifications and acknowledgements: |
Ramirez, Julian |
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Other identifications and acknowledgements: |
Kehel, Zakaria |
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Other identifications and acknowledgements: |
Sotelo, Steven |
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Other identifications and acknowledgements: |
Hernandez, Victor |
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Other identifications and acknowledgements: |
Aouzal, Khadija |
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Other identifications and acknowledgements: |
Achicanoy Estrella, Harold Armando |
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Producer: |
Bioversity International and the International Center for Tropical Agriculture |
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International Center for Agricultural Research in the Dry Areas |
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Date of Production: |
2024-01-01 |
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Distributor: |
Harvard Dataverse |
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Distributor: |
International Center for Agricultural Research in the Dry Areas |
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Distributor: |
The Alliance of Bioversity International and CIAT |
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Access Authority: |
Alliance Data Management |
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Depositor: |
Alliance Data Management |
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Date of Deposit: |
2025-03-04 |
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Date of Distribution: |
2025-01-15 |
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Holdings Information: |
https://doi.org/10.7910/DVN/WZH2TK |
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Study Scope |
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Keywords: |
Agricultural Sciences, Earth and Environmental Sciences, abiotic stress, agroclimatic indicators, climatic data, drought, heat, flooding, spatial data, temperature, maximum temperatures, minimum temperatures, precipitation, raster, waterlogging, Latin America and the Caribbean, Climate Action |
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Topic Classification: |
climatic data |
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Abstract: |
The purpose for creating these indicators is to perform a similarity analysis of the climatic conditions (heat, drougth and waterlogging stresses) of a specific location versus the climatic conditions where the accessions of the different crops available in Genesys were collected, within the Analogues tool. The above considers climate change scenarios, thus facilitating the adaptation of crops to future conditions. <br> <br> Methodology: To calculate these agroclimatic indicators, the data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) was taken as a basis, for the Shared Socioeconomic Pathway SSP2-4.5, for the time period 2041-2060 and downscaling and bias correction were applied following the methodology proposed by Navarro-Racines et al. (2020), thus obtaining daily data during the aforementioned time period for the variables: precipitation, maximum and minimum temperature at a resolution of 5 km. With the above, the indicators were calculated by month during 2041 -2060 and finally, to summarize the calculated indicators, a multi-annual aggregation of the data was carried out. |
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Time Period: |
2041-01-01-2060-12-31 |
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Date of Collection: |
2024-01-01-2024-12-31 |
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Geographic Coverage: |
Asia, Global |
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Geographic Bounding Box: |
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Kind of Data: |
Climate Date |
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Kind of Data: |
Geospatial Data |
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Kind of Data: |
Breeding Data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Disclaimer: |
<p>The Alliance of Bioversity International and CIAT (hereinafter "the Alliance"), its partners, and the data authors have exercised utmost care in collecting and compiling the data. However, the data is provided "as is" without any express or implied warranty. Neither the Alliance, its partners, the data authors, nor any relevant funding agencies shall be held liable for any actual, incidental, or consequential damages arising from the use of this data.</p> <p>By utilizing the Alliance Dataverse, users explicitly acknowledge that the data may contain nonconformities, defects, or errors. No warranty is provided that the data will meet users' needs or expectations, nor that all nonconformities, defects, or errors can or will be corrected.</p> <p>Users are responsible for verifying the accuracy and suitability of the data for their intended use. It is strongly recommended that users refer to related publications as a baseline for their analysis whenever possible. This practice serves as an additional safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the respective Dataverse study.</p> |
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Other Study Description Materials |
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Related Studies |
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Mora Argoti, Brayan Alexander, 2025, "Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/L9IDGH, Harvard Dataverse |
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Mora Argoti, Brayan Alexander, 2025, "Oceania - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/TPSCCP, Harvard Dataverse |
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Mora Argoti, Brayan Alexander, 2025, "Africa - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/ZQA9LA, Harvard Dataverse |
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Mora Argoti, Brayan Alexander, 2025, "North America - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/E8Z5Q3, Harvard Dataverse |
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Mora Argoti, Brayan Alexander, 2025, "South America - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/JIXOGY, Harvard Dataverse |
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Label: |
01a. Data_Dictionary.pdf |
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Text: |
Data dictionary |
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Notes: |
application/pdf |
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Label: |
02a. Asia_ind_prec.7z |
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Text: |
Climate indicators calculated from daily precipitation data at monthly level |
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Notes: |
application/x-7z-compressed |
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Label: |
02b. Asia_ind_temp.7z |
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Text: |
Climate indicators calculated from daily maximum and minimum temperature data at monthly level |
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Notes: |
application/x-7z-compressed |
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Label: |
02c. Asia_ind_vpd.7z |
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Text: |
Climate indicators calculated from the calculation of the vapor pressure deficit (VPD), for this calculation the methodology of Tanner and Sinclair (1983) is taken into account, obtaining daily VPD data. |
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Notes: |
application/x-7z-compressed |
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Label: |
02d. Asia_ind_waterlogging.7z |
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Climate indicators calculated from the water balance calculation, for this calculation the Jones and Thornton (2009) methodology is taken into account. Obtaining daily water balance data |
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Notes: |
application/x-7z-compressed |