Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981-2019): Understanding Their Links to Rice Yield
Vietnam, one of the three leading rice producers globally, has recently seen an increased threat to its rice production emanating from climate extremes (floods and droughts). Understanding spatio-temporal variability in precipitation and soil moisture is essential for policy formulations to adapt an...
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| Format: | Journal Article |
| Language: | English |
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MDPI
2022
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| Online Access: | http://hdl.handle.net/20.500.11937/88917 |
| _version_ | 1848765112915066880 |
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| author | Bui, L.K. Awange, Joseph Vu, D.T. |
| author_facet | Bui, L.K. Awange, Joseph Vu, D.T. |
| author_sort | Bui, L.K. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Vietnam, one of the three leading rice producers globally, has recently seen an increased threat to its rice production emanating from climate extremes (floods and droughts). Understanding spatio-temporal variability in precipitation and soil moisture is essential for policy formulations to adapt and cope with the impacts of climate extremes on rice production in Vietnam. Adopting a higher-order statistical method of independent component analysis (ICA), this study explores the spatio-temporal variability in the Climate Hazards Group InfraRed Precipitation Station's (CHIRPS) precipitation and the Global Land Data Assimilation System's (GLDAS) soil moisture products. The results indicate an agreement between monthly CHIRPS precipitation and monthly GLDAS soil moisture with the wetter period over the southern and South Central Coast areas that is latter than that over the northern and North Central Coast areas. However, the spatial patterns of annual mean precipitation and soil moisture disagree, likely due to factors other than precipitation affecting the amount of moisture in the soil layers, e.g., temperature, irrigation, and drainage systems, which are inconsistent between areas. The CHIRPS Standardized Precipitation Index (SPI) is useful in capturing climate extremes, and the GLDAS Standardized Soil Moisture Index (SSI) is useful in identifying the influences of climate extremes on rice production in Vietnam. During the 2016-2018 period, there existed a reduction in the residual rice yield that was consistent with a decrease in soil moisture during the same time period. |
| first_indexed | 2025-11-14T11:30:05Z |
| format | Journal Article |
| id | curtin-20.500.11937-88917 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:30:05Z |
| publishDate | 2022 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-889172022-07-27T07:34:51Z Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981-2019): Understanding Their Links to Rice Yield Bui, L.K. Awange, Joseph Vu, D.T. Science & Technology Physical Sciences Technology Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering climate change climate extremes CHIRPS TRMM GLDAS MERRA Vietnam rice yield INDEPENDENT COMPONENT ANALYSIS MEASURING MISSION TRMM LAKE VICTORIA INTERANNUAL VARIATION FALL RAINFALL RIVER-BASIN DROUGHT CLIMATE LAND WATER Vietnam, one of the three leading rice producers globally, has recently seen an increased threat to its rice production emanating from climate extremes (floods and droughts). Understanding spatio-temporal variability in precipitation and soil moisture is essential for policy formulations to adapt and cope with the impacts of climate extremes on rice production in Vietnam. Adopting a higher-order statistical method of independent component analysis (ICA), this study explores the spatio-temporal variability in the Climate Hazards Group InfraRed Precipitation Station's (CHIRPS) precipitation and the Global Land Data Assimilation System's (GLDAS) soil moisture products. The results indicate an agreement between monthly CHIRPS precipitation and monthly GLDAS soil moisture with the wetter period over the southern and South Central Coast areas that is latter than that over the northern and North Central Coast areas. However, the spatial patterns of annual mean precipitation and soil moisture disagree, likely due to factors other than precipitation affecting the amount of moisture in the soil layers, e.g., temperature, irrigation, and drainage systems, which are inconsistent between areas. The CHIRPS Standardized Precipitation Index (SPI) is useful in capturing climate extremes, and the GLDAS Standardized Soil Moisture Index (SSI) is useful in identifying the influences of climate extremes on rice production in Vietnam. During the 2016-2018 period, there existed a reduction in the residual rice yield that was consistent with a decrease in soil moisture during the same time period. 2022 Journal Article http://hdl.handle.net/20.500.11937/88917 10.3390/s22051906 English http://creativecommons.org/licenses/by/4.0/ MDPI fulltext |
| spellingShingle | Science & Technology Physical Sciences Technology Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering climate change climate extremes CHIRPS TRMM GLDAS MERRA Vietnam rice yield INDEPENDENT COMPONENT ANALYSIS MEASURING MISSION TRMM LAKE VICTORIA INTERANNUAL VARIATION FALL RAINFALL RIVER-BASIN DROUGHT CLIMATE LAND WATER Bui, L.K. Awange, Joseph Vu, D.T. Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981-2019): Understanding Their Links to Rice Yield |
| title | Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981-2019): Understanding Their Links to Rice Yield |
| title_full | Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981-2019): Understanding Their Links to Rice Yield |
| title_fullStr | Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981-2019): Understanding Their Links to Rice Yield |
| title_full_unstemmed | Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981-2019): Understanding Their Links to Rice Yield |
| title_short | Precipitation and Soil Moisture Spatio-Temporal Variability and Extremes over Vietnam (1981-2019): Understanding Their Links to Rice Yield |
| title_sort | precipitation and soil moisture spatio-temporal variability and extremes over vietnam (1981-2019): understanding their links to rice yield |
| topic | Science & Technology Physical Sciences Technology Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering climate change climate extremes CHIRPS TRMM GLDAS MERRA Vietnam rice yield INDEPENDENT COMPONENT ANALYSIS MEASURING MISSION TRMM LAKE VICTORIA INTERANNUAL VARIATION FALL RAINFALL RIVER-BASIN DROUGHT CLIMATE LAND WATER |
| url | http://hdl.handle.net/20.500.11937/88917 |