The Abbay BasinAbbay Basin is the largest river basin in EthiopiaEthiopia with the highest water volume discharge of 54 BCM/year. It is a crucial source of the Nile River, which supports the livelihoodsLivelihood of 250 million people in SudanSudan and Egypt. Due to its importance, the scientific community has given significant attention to the basin. However, there is still a lack of appropriate hydroclimate dataHydroclimate data in terms of quality and quantity and a scarcity of research facilities, which has hindered the development of scientific knowledge in the region. To address this issue, the objective of the current study is to highlight innovations in climatological and hydrological data sources and analysis tools that can improve the precision and accuracy of research in the Abbay basinAbbay Basin. Our literature review identified emerging satellite-based hydroclimate dataHydroclimate data sources that could serve as potential alternatives to address the problem of data inadequacy. Although some data sources for temperature and surface reflectance have higher accuracy and precision levels than those commonly used in the basin, there are limitations in available secondary data sources for perception and relatedHydrological parameters hydrological parameters, including their spatial resolution and accuracy. We also explored the potential of emerging cloud-based computation platforms (such as Google Earth Engine)Google earth engine and script-based data analysis tools (such as R-based packages) to analyse large and high-resolution datasets. These tools have the ability to automate the iteration of functions on large spatial extent datasets and represent distinct time intervals (hourly, daily, monthly or yearly) with separate layers. Additionally, we highlightedMachine learning machine learning (ML)-based algorithms as promising tools for solving research problems in the basin, especially when long-term hydroclimatological data are not available. ML-based algorithms can provide greater accuracy in parameter estimation without requiring in-depth knowledge of the basin’s physical processes and can use static basin characteristic data for hydrological parameter estimation. However, it is important to ensure that these tools are used under the correct conditions and with appropriate calibration to the context of the Abbay basinAbbay Basin. Overall, these innovations can contribute to a better understanding of hydroclimatological processes in the Abbay basin and support sustainable water management practices.

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Recent Development and Innovative Tools for Climate and Hydrological Data Collection and Analysis in the Abbay Basin

  • Yonas Getaneh,
  • Wuletawu Abera,
  • Getachew Tesfaye Ayehu,
  • Degefie Tibebe,
  • Lulseged Tamene

摘要

The Abbay BasinAbbay Basin is the largest river basin in EthiopiaEthiopia with the highest water volume discharge of 54 BCM/year. It is a crucial source of the Nile River, which supports the livelihoodsLivelihood of 250 million people in SudanSudan and Egypt. Due to its importance, the scientific community has given significant attention to the basin. However, there is still a lack of appropriate hydroclimate dataHydroclimate data in terms of quality and quantity and a scarcity of research facilities, which has hindered the development of scientific knowledge in the region. To address this issue, the objective of the current study is to highlight innovations in climatological and hydrological data sources and analysis tools that can improve the precision and accuracy of research in the Abbay basinAbbay Basin. Our literature review identified emerging satellite-based hydroclimate dataHydroclimate data sources that could serve as potential alternatives to address the problem of data inadequacy. Although some data sources for temperature and surface reflectance have higher accuracy and precision levels than those commonly used in the basin, there are limitations in available secondary data sources for perception and relatedHydrological parameters hydrological parameters, including their spatial resolution and accuracy. We also explored the potential of emerging cloud-based computation platforms (such as Google Earth Engine)Google earth engine and script-based data analysis tools (such as R-based packages) to analyse large and high-resolution datasets. These tools have the ability to automate the iteration of functions on large spatial extent datasets and represent distinct time intervals (hourly, daily, monthly or yearly) with separate layers. Additionally, we highlightedMachine learning machine learning (ML)-based algorithms as promising tools for solving research problems in the basin, especially when long-term hydroclimatological data are not available. ML-based algorithms can provide greater accuracy in parameter estimation without requiring in-depth knowledge of the basin’s physical processes and can use static basin characteristic data for hydrological parameter estimation. However, it is important to ensure that these tools are used under the correct conditions and with appropriate calibration to the context of the Abbay basinAbbay Basin. Overall, these innovations can contribute to a better understanding of hydroclimatological processes in the Abbay basin and support sustainable water management practices.