Special Issue "Simulation of the Hydrological, Thermal and Energy Budgets"
Deadline for manuscript submissions: closed (10 August 2022) | Viewed by 1944
Interests: meteorology; climate physics; numerical modelling; meteorological models; land surface models; crop modelling; hydrometeorology; agrometeorology; agroclimatology
Special Issues, Collections and Topics in MDPI journals
Special Issue in Climate: Impact of Climate Change on Water Resources
Special Issue in Climate: Modified Hydrological Cycle under Global Warming
Special Issue in Applied Sciences: The Hydrological Cycle and Its Relations with Climate: Latest Advances and Prospects
Interests: meteorology; land surface models; crop modelling; hydrometeorology; agrometeorology; agroclimatology
Recently, the scientiﬁc community has recognized the importance of land surface as a key component of the climate system. The soil represents a source term for hydrologic and energy budgets, as it partitions incoming net radiation into sensible and latent heat ﬂux, and conductive heat ﬂux, and redistributes the precipitation into evapotranspiration, surface or underground storage, runoff, and gravitational drainage. Latent heat flux, being proportional to evapotranspiration, links energy and hydrologic budgets. With these premises, the assessment of the energy and hydrologic budgets is crucial. However, only a few cases of extensive ﬁeld campaigns using in situ measurements have been carried out to measure soil temperature and moisture, or turbulent ﬂuxes. Satellite measurements may allow for extensive measurements of soil temperature and moisture in the skin layer, but not in the root zone, thus making it very difﬁcult to evaluate the budgets. An alternative method uses numerical model outputs or reanalysis as a surrogate of surface observations to estimate such variables and evaluate the exchanges of energy and moisture between the atmosphere, the vegetation and the soil. Since this is the actual tendency of the research, the papers of this Special Issue dealing with the above-mentioned aspects would certainly represent a novelty in the literature.
Prof. Dr. Claudio Cassardo
Dr. Valentina Andreoli
Dr. Sujeong Lim
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- sensible heat ﬂux
- latent heat ﬂux
- land surface models
- surface runoff
- soil temperature
- soil moisture
- model simulations
- satellite data