DOI: 10.5194/hess-24-2419-2020
论文题名: Tracking the global flows of atmospheric moisture and associated uncertainties
作者: Tuinenburg O.A. ; Staal A.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 5 起始页码: 2419
结束页码: 2435
语种: 英语
Scopus关键词: Economic and social effects
; Evaporation
; Lagrange multipliers
; Mixing
; Recycling
; Atmospheric model
; Atmospheric moisture
; Atmospheric reanalysis data
; Earth system science
; Lagrangian methods
; Lagrangian models
; Land-cover change
; Spatial dimension
; Moisture
; atmospheric modeling
; atmospheric moisture
; precipitation (climatology)
; rainfall
; tracking
; uncertainty analysis
英文摘要: Many processes in hydrology and Earth system science relate to continental moisture recycling, the contribution of terrestrial evaporation to precipitation. For example, the effects of land-cover changes on regional rainfall regimes depend on this process. To study moisture recycling, a range of moisture-tracking models are in use that are forced with output from atmospheric models but differ in various ways. They can be Eulerian (grid-based) or Lagrangian (trajectory-based), have two or three spatial dimensions, and rely on a range of other assumptions. Which model is most suitable depends not only on the purpose of the study but also on the quality and resolution of the data with which it is forced. Recently, the high-resolution ERA5 reanalysis data set has become the state of the art, paving the way for a new generation of moisture-tracking models. However, it is unclear how the new data can best be used to obtain accurate estimates of atmospheric moisture flows. Here we develop a set of moisture-tracking models forced with ERA5 data and systematically test their performance regarding continental evaporation recycling ratio, distances of moisture flows, and "footprints" of evaporation from seven point sources across the globe. We report simulation times to assess possible trade-offs between accuracy and speed. Three-dimensional Lagrangian models were most accurate and ran faster than Eulerian versions for tracking water from single grid cells. The rate of vertical mixing of moisture in the atmosphere was the greatest source of uncertainty in moisture tracking. We conclude that the recently improved resolution of atmospheric reanalysis data allows for more accurate moisture tracking results in a Lagrangian setting, but that considerable uncertainty regarding turbulent mixing remains. We present an efficient Lagrangian method to track atmospheric moisture flows from any location globally using ERA5 reanalysis data and make the code for this model, which we call UTrack-atmospheric-moisture, publicly available. © Author(s)2020. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162699
Appears in Collections: 气候变化与战略
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作者单位: Tuinenburg, O.A., Copernicus Institute for Sustainable Development, Utrecht University, TC Utrecht, 3508, Netherlands, Stockholm Resilience Centre, Stockholm University, Stockholm, 10691, Sweden, Bolin Centre for Climate Research, Stockholm, 10691, Sweden; Staal, A., Stockholm Resilience Centre, Stockholm University, Stockholm, 10691, Sweden, Bolin Centre for Climate Research, Stockholm, 10691, Sweden
Recommended Citation:
Tuinenburg O.A.,Staal A.. Tracking the global flows of atmospheric moisture and associated uncertainties[J]. Hydrology and Earth System Sciences,2020-01-01,24(5)