Abstract
The agriculture sector responsible for global food and nutrition security has an urgent need to examine climatic trends so that adaptations can be exercised in advance. Freely available dataset from satellite sources can greatly ease rainfall analysis, especially for smallholder farmers who typically operate under limited resources. Tests to determine their accuracy, however, are so far not deployed in tropical Southeast Asia. We compared in situ observations with dataset from the Global Satellite Mapping of Precipitation (GSMaP) and the Prediction of Worldwide Energy Resources (POWER) in two sites located 180 km apart in the tropical Malay Peninsula for 30 days. We found that in situ precipitation values were markedly overestimated by GSMaP (34.9–67.5%) and POWER (180.5–289.2%), and the possible reasons are discussed. Nonetheless, we conclude that GSMaP remains the best hope for smallholder farmers and its dataset can still be used under the precaution of error margins determined by the practical method described herein.
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Data availability
The datasets generated are available from the corresponding author on reasonable request.
References
Abdul Ghani, N. A. A., Mohamad, N. A., & Teo, W. H. (2016). Rainfall analysis to determine the potential of rainwater harvesting site in Kuantan, Pahang. ARPN Journal of Engineering and Applied Sciences, 11(11), 7264–7268.
Acharya, R. (2017). Chapter 7 -Tropospheric impairments: Measurements and mitigation, In: R. Acharya (ed) Satellite Signal Propagation, Impairments and Mitigation. London, Elsevier. https://doi.org/10.1016/B978-0-12-809732-8.00007-7
Arora, N. K. (2019). Impact of climate change on agriculture production and its sustainable solutions. Environmental Sustainability, 2, 95–96. https://doi.org/10.1007/s42398-019-00078-w
Bradatan, C., Dennis, J. A., Flores-Yeffal, N., et al. (2020). Child health, household environment, temperature and rainfall anomalies in Honduras: A socio-climate data linked analysis. Environmental Health, 19, 10. https://doi.org/10.1186/s12940-020-0560-9
Cetin, M. (2019). The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellite images on air quality: A case study of Bursa city. Air Quality, Atmosphere, and Health., 12, 1237–1249. https://doi.org/10.1007/s11869-019-00742-4
Chern, J. D., Tao, W. K., Lang, S. E., Li, X., & Matsui, T. (2020). Evaluating precipitation features and rainfall characteristics in a multi-scale modeling framework. Journal of Advances in Modeling Earth Systems, 12, e2019MS002007. https://doi.org/10.1029/2019MS002007
Economic Planning Unit (EPU) (2000). National Water Resources Study 2000–2050. Kuala Lumpur, Department of Prime Minister’s Office.
Radin Firdaus, R. B., Tan, M. L., Rahmat, S. R., & Gunaratne, M. S. (2020). Paddy, rice and food security in Malaysia: A review of climate change impacts. Cogent Social Sciences, 6, 1. https://doi.org/10.1080/23311886.2020.1818373
Food and Agriculture Organization (FAO) (2016). Climate change implications for fisheries and aquaculture: Summary of the findings of the Intergovernmental Panel on Climate Change Fifth Assessment Report. FAO Fisheries and Aquaculture Circular No. 1122. Rome, Italy. http://www.fao.org/3/i5707e/i5707e.pdf
Guilloteau, C., Foufoula-Georgiou, E., Kummerow, C. D., & Petković, V. (2018). Resolving surface rain from GMI high-frequency channels: Limits imposed by the three-dimensional structure of precipitation. Journal of Atmospheric and Oceanic Technology, 35(9), 1835–1847. https://doi.org/10.1175/JTECH-D-18-0011.1
Han, J. Y., & Baik, J. J. (2008). A theoretical and numerical study of urban heat island–induced circulation and convection. Journal of the Atmospheric Sciences, 65, 1859–1877. https://doi.org/10.1175/2007JAS2326.1
Hazell, P. (2020). Importance of smallholder farms as a relevant strategy to increase food security, In: Gomez, P. S., Riesgo L. and Louhichi K. (eds) The role of smallholder farms in food and nutrition security. Cham, Springer. https://doi.org/10.1007/978-3-030-42148-9_3
Jenkins, D. G., & Quintana-Ascencio, P. F. (2020). A solution to minimum sample size for regressions. PLoS ONE, 15(2), e0229345. https://doi.org/10.1371/journal.pone.0229345
Juneng, L., & Tangang, F. T. (2005). Evolution of ENSO-related rainfall anomalies in Southeast Asia regions and its relationship with atmosphere-ocean variations in Indo-Pacific sector. Climate Dynamics, 25, 337–350. https://doi.org/10.1007/s00382-005-0031-6
Kubota, T., Aonashi, K., Ushio, T., Shige, S., Takayabu, Y. N., Kachi, M., Arai, Y., et al. (2020). Global satellite mapping of precipitation (GSMaP) products in the GPM era. In V. Levizzani, C. Kidd, D. B. Kirschbaum, C. D. Kummerow, K. Nakamura, and F. J. Turk (eds.), Satellite precipitation measurement, 355–373. Cham, Springer. https://doi.org/10.1007/978-3-030-24568-9_20
Leweri, C. M., Msuha, M. J., & Treydte, A. C. (2021). Rainfall variability and socio-economic constraints on livestock production in the Ngorongoro Conservation Area Tanzania. SN Applied Sciences, 3(1), 1–10. https://doi.org/10.1007/s42452-020-04111-0
Lin, C.-Y., Chen, W.-C., Chang, P.-L., & Sheng, Y.-F. (2011). Impact of the urban heat island effect on precipitation over a complex geographic environment in Northern Taiwan. Journal of Applied Meteorology and Climatology, 50(2), 339–353. https://doi.org/10.1175/2010jamc2504.1
Liu, C., Aryastana, P., Liu, G., & Huang, W. (2020). Assessment of satellite precipitation product estimates over Bali Island. Atmospheric Research, 244, 105032–105032. https://doi.org/10.1016/j.atmosres.2020.105032
Levizzani, V., & Cattani, E. (2019). Satellite remote sensing of precipitation and the terrestrial water cycle in a changing climate. Remote Sensing, 11(19), https://doi.org/10.3390/rs11192301.
Lowder, S. K., Skoet, J., & Raney, T. (2016). The number, size, and distribution of farms, smallholder farms, and family farms worldwide. World Development, 87, 16–29. https://doi.org/10.1016/j.worlddev.2015.10.041
McAlpine, C. A., Johnson, A., Salazar, A., Syktus, J., Wilson, K., Meijaard, E., et al. (2018). Forest loss and Borneo’s climate. Environmental Research Letters, 13(4), 044009. https://doi.org/10.1088/1748-9326/aaa4ff
Mercado-Bettín, D., Salazar, J. F., & Villegas, J. C. (2019). Long-term water balance partitioning explained by physical and ecological characteristics in world river basins. Echohydrolgy, 12, e2072. https://doi.org/10.1002/eco.2072
Ministry of Energy, Science, Technology, Environment and Climate Change (MESTECC) (2018). Malaysia third national communication and second biennial update report to the UNFCCC. https://unfccc.int/sites/default/files/resource/Malaysia%20NC3%20BUR2_final%20high%20res.pdf
Ng, C.K.-C., Goh, C.-H., Lin, J.-C., Tan, M.-S., Bong, W., Yong, C.-S., Chong, J.-Y., Ooi, P.A.-C., Wong, W.-L., & Khoo, G. (2018). Water quality variation during a strong El Niño event in 2016: A case study in Kampar River Malaysia. Environmental Monitoring and Assessment, 190(7), 402. https://doi.org/10.1007/s10661-018-6784-2
Qiu, J., Shen, Z., Leng, G., Xie, H., Hou, X., & Wei, G. (2019). Impacts of climate change on watershed systems and potential adaptation through BMPs in a drinking water source area. Journal of Hydrology, 573, 123–135. https://doi.org/10.1016/j.jhydrol.2019.03.074
Ogino, S. Y., Yamanaka, M. D., Mori, S., & Matsumoto, J. (2016). How much is the precipitation amount over the tropical coastal region? Journal of Climate, 29, 1231–1236. https://doi.org/10.1175/JCLI-D-15-0484.1
Ramanathan, V., Crutzen, P. J., Kiehl, J. T., & Rosenfeld, D. (2001). Aerosols, climate and the hydrological cycle. Science, 294(5549), 2119–2124. https://doi.org/10.1126/science.1064034
Santos, C. A. G., Brasil Neto, R. M., Passos, J. S., & d. A. & da Silva, R. M. (2017). Drought assessment using a TRMM-derived standardized precipitation index for the upper São Francisco River basin Brazil. Environmental Monitoring and Assessment, 189, 250. https://doi.org/10.1007/s10661-017-5948-9
Setiawati, M. D., & Miura, F. (2016). Evaluation of GSMaP daily rainfall satellite data for flood monitoring: Case study—Kyushu Japan. Journal of Geoscience and Environment Protection, 4, 101–117. https://doi.org/10.4236/gep.2016.412008
Sireesha, C., Roshni, T., & Jha, M. K. (2020). Insight into the precipitation behavior of gridded precipitation data in the Sina basin. Environmental Monitoring and Assessment, 192, 729. https://doi.org/10.1007/s10661-020-08687-3
Syafrina, A. H., Norzaida, A., & Noor Shazwani, O. (2017). Rainfall analysis in the northern region of Peninsular Malaysia. International Journal of Advanced and Applied Sciences, 4(11), 11–16. https://doi.org/10.21833/ijaas.2017.011.002
Tan, M. L., & Duan, Z. (2017). Assessment of GPM and TRMM precipitation products over Singapore. Remote Sensing, 9(7), 720. https://doi.org/10.3390/rs9070720
Twisa, S., & Buchroithner, M. F. (2019). Seasonal and annual rainfall variability and their impact on rural water supply services in the Wami River Basin. Tanzania. Water, 11, 2055. https://doi.org/10.3390/w11102055
van der Geest K. et al. (2019). The impacts of climate change on ecosystem services and resulting losses and damages to people and society. In: Mechler R., Bouwer L., Schinko T., Surminski S., Linnerooth-Bayer J. (eds) Loss and damage from climate change. Climate risk management, policy and governance. Springer, Cham. https://doi.org/10.1007/978-3-319-72026-5_9
Vaghefi, N., Shamsudin, M. N., Radam, A., & Rahim, K. A. (2016). Impact of climate change on food security in Malaysia: Economic and policy adjustments for rice industry. Journal of Integrative Environmental Sciences, 13(1), 19–35. https://doi.org/10.1080/1943815X.2015.1112292
Vergopolan, N., & Fisher, J. B. (2016). The impact of deforestation on the hydrological cycle in Amazonia as observed from remote sensing. International Journal of Remote Sensing, 37, 5412–5430. https://doi.org/10.1080/01431161.2016.1232874
Wehling, P., Labudde, R., Brunelle, S., & Nelson, M. (2011). Probability of Detection (POD) as a statistical model for the validation of qualitative methods. Journal of AOAC International, 94(1), 335–347. https://doi.org/10.1093/jaoac/94.1.335
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Ng, C.KC., Kong, R.WH., Foo, GH. et al. Rapid comparison of precipitation data between satellite and in situ observations. Environ Monit Assess 195, 228 (2023). https://doi.org/10.1007/s10661-022-10789-z
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DOI: https://doi.org/10.1007/s10661-022-10789-z