High-Resolution Global Water Temperature Modeling
| Autor: | Wanders, Niko, van Vliet, Michelle T.H., Wada, Yoshihide, Bierkens, Marc F.P., van Beek, Ludovicus P.H.(Rens), Landscape functioning, Geocomputation and Hydrology, Landdegradatie en aardobservatie, Hydrologie |
|---|---|
| Přispěvatelé: | Landscape functioning, Geocomputation and Hydrology, Landdegradatie en aardobservatie, Hydrologie |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
WIMEK
010504 meteorology & atmospheric sciences Scale (ratio) 0208 environmental biotechnology Flooding (psychology) Northern Hemisphere modeling 02 engineering and technology Atmospheric sciences global high-resolution 01 natural sciences 020801 environmental engineering Water balance Hydrology (agriculture) water temperature Environmental science Water Systems and Global Change Maxima Surface water Southern Hemisphere 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Water Resources Research, 55(4), 2760-2778 Water Resources Research, 55(4), 2760. American Geophysical Union Water Resources Research 55 (2019) 4 |
| ISSN: | 0043-1397 |
| DOI: | 10.1029/2018wr023250 |
| Popis: | The temperature of river water plays a crucial role in many physical, chemical, and aquatic ecological processes. Despite the importance of having detailed information on this environmental variable at locally relevant scales (≤50 km), high-resolution simulations of water temperature on a large scale are currently lacking. We have developed the dynamical 1-D water energy routing model (DynWat), that solves both the energy and water balance, to simulate river temperatures for the period 1960–2014 at a nominal 10-km and 50-km resolution. The DynWat model accounts for surface water abstraction, reservoirs, riverine flooding, and formation of ice, enabling a realistic representation of the water temperature. We present a novel 10-km water temperature data set at the global scale for all major rivers, lakes, and reservoirs. Validated results against 358 stations worldwide indicate a decrease in the simulated root-mean-square error (0.2 °C) and bias (0.7 °C), going from 50- to 10-km simulations. We find an average global increase in water temperature of 0.16 °C per decade between 1960 and 2014, with more rapid warming toward 2014. Results show increasing trends for the annual daily maxima in the Northern Hemisphere (0.62 °C per decade) and the annual daily minima in the Southern Hemisphere (0.45 °C per decade) for 1960–2014. The high-resolution modeling framework not only improves the model performance, it also positively impacts the relevance of the simulations for regional-scale studies and impact assessments in a region without observations. The resulting global water temperature data set could help to improve the accuracy of decision-support systems that depend on water temperature estimates. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text