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Guillermo F. Martinez

Researcher at University of Arizona

Publications -  5
Citations -  3566

Guillermo F. Martinez is an academic researcher from University of Arizona. The author has contributed to research in topics: Catchment hydrology & Nash–Sutcliffe model efficiency coefficient. The author has an hindex of 5, co-authored 5 publications receiving 2459 citations.

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Journal ArticleDOI

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

TL;DR: A diagnostically interesting decomposition of NSE is presented, which facilitates analysis of the relative importance of its different components in the context of hydrological modelling, and it is shown how model calibration problems can arise due to interactions among these components.
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Climate and vegetation water use efficiency at catchment scales

TL;DR: Troch et al. as mentioned in this paper proposed SAHRA (Sustainability of semi-arid hydrology and riparian areas), which is a semiarid water management model.
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Toward improved identification of hydrological models: a diagnostic evaluation of the "abcd" monthly water balance model for the conterminous United States.

TL;DR: In this article, the authors examine the challenges in the context of monthly water balance (WB) modeling for the conterminous United States by applying the "abcd" model to 764 catchments selected for their comprehensive coverage of hydrogeological conditions.
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Hydrologic consistency as a basis for assessing complexity of monthly water balance models for the continental United States

TL;DR: In this article, the authors use the principle of hydrologic consistency to evaluate the suitability of model structures for lumped water balance modeling across the continental United States, using data from 307 snow-free catchments.
Journal Article

Simulations of seasonal snow for the South Island, New Zealand

TL;DR: In this article, seasonal snow simulations are produced for the South Island of New Zealand using a relatively simple temperature-index snow model, which is broadly consistent with the observed snow climatology, especially with respect to estimates of snow volume and snow duration.