Hydro Genome Mapping: An Approach for the Diagnosis, Evaluation and Improving Prediction Capability of Hydro-Meteorological Models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-019-02336-2.pdf
Reference77 articles.
1. Abbaszadeh P, Moradkhani H, Yan H (2018) Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo. Adv Water Resour 111:192–204. https://doi.org/10.1016/j.advwatres.2017.11.011
2. Alemohammad SH, McLaughlin DB, Entekhabi D (2015) Quantifying Precipitation Uncertainty for Land Data Assimilation Applications. Mon Weather Rev 143(8):3276–3299. https://doi.org/10.1175/MWR--D--14--00337.1
3. Andreatta ME (2013) Evolutionary Dynamics of Gene and Genome Duplications In Plants. Phd thesis, Purdue University
4. Beven K, Freer J (2001) Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. Hydrol Process 249:11–29
5. Beven K (2006) A manifesto for the equifinality thesis. J Hydrol 320(1-2):18–36. https://doi.org/10.1016/j.jhydrol.2005.07.007
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