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Updated: May 13, 2025
09:55
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
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Cell-scale atmospheric moisture flows dataset reconciled with ERA5 reanalysis.
Elena De Petrillo1, Luca Monaco2, Marta Tuninetti2
1Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy. elena.depetrillo@polito.it.
Scientific Data
|April 15, 2025
Summary
This study introduces Iterative Proportional Fitting (IPF) to reconcile atmospheric moisture tracking data with reanalysis, improving hydrological cycle models. The new RECON dataset offers enhanced global exploration of water vapour flows.
Area of Science:
- Atmospheric science
- Hydrology
- Data assimilation
Background:
- Atmospheric water vapour transport is crucial for the hydrological cycle, connecting evaporation and precipitation.
- Current atmospheric tracking models show discrepancies with reanalysis data for evaporation and precipitation.
- Improving the accuracy of these models is essential for understanding global water cycles.
Purpose of the Study:
- To develop a procedure to reconcile atmospheric moisture flows reconstructed by tracking models with reanalysis data.
- To enhance the reliability of estimates from atmospheric tracking models.
- To create a new dataset for exploring global atmospheric vapour flows.
Main Methods:
- Utilized Iterative Proportional Fitting (IPF) to reconcile data.
- Applied the IPF procedure to the Lagrangian model UTrack and ERA5 reanalysis data.
- Ensured annual consistency between traced atmospheric water, total evaporation, and precipitation.
Main Results:
- Developed a reconciled dataset (RECON) of atmospheric moisture flows from 2008-2017.
- Achieved a global spatial resolution of 0.5° for exploring vapour flows.
- Demonstrated the framework's applicability to various cell-scale atmospheric moisture tracking datasets.
Conclusions:
- The IPF-based reconciliation method significantly improves the accuracy of atmospheric moisture flow estimates.
- The RECON dataset provides a valuable resource for studying global water vapour dynamics.
- The proposed framework offers a versatile approach for enhancing hydrological cycle modeling.
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