使用基于GNSS的沉性水蒸气估计每日潜在的蒸发透气
Piyanan Pipatsitee1, Sarawut Ninsawat1, Nitin Kumar Tripathi1
1Remote Sensing and Geographic Information Systems, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathum Thani 12120, Thailand.
Heliyon
|July 14, 2023
概括
一个新的模型使用卫星衍生的水蒸气和温度估计了每日潜在蒸发转化率 (PET). 这种修订后的PET (RPET) 模型克服了数据限制,有助于干旱评估和水资源管理.
科学领域:
- 水文学的水文学
- 气象学 天气学
- 遥感 遥感 遥感 遥感
背景情况:
- 潜在的蒸发透气 (PET) 对于水文和能量平衡研究至关重要.
- 标准的Penman-Monteith (PM) 模型需要大量的气象数据,在泰国等地区往往无法获得.
- 局限的气象站数据阻碍了精确的PET估计.
研究的目的:
- 为每日PET估计开发一个修订后的潜在蒸发转化 (RPET) 模型.
- 为了利用全球导航卫星系统 (GNSS-PWV) 产生的沉式水蒸气和温度数据作为输入.
- 在传统数据稀缺的情况下,为PET估计提供可行的替代方案.
主要方法:
- 使用多重线性回归分析开发了RPET模型.
- 验证了RPET模型与Penman-Monteith (PM) 模型对比.
- 将RPET性能与全球土地蒸发阿姆斯特丹模型 (GLEAM) 和ERA5-Land再分析数据进行比较.
主要成果:
- RPET模型与PM模型 (r=0.85,RMSE=0.97毫米/天−1) 显示出强烈的相关性.
- 与GLEAM和ERA5-Land产品相比,RPET显示出更高的性能.
- 该模型仅使用GNSS-PWV和温度数据有效估计PET.
结论:
- RPET模型提供了一种可靠的方法,以最小的输入数据进行每日PET估计.
- 这种方法非常适合数据稀缺的地区,支持干旱评估和水资源管理.
- 集成GNSS-PWV数据增强了水文建模能力.
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