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Article detail · 2014

Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River basin

Journal

Water Resources Research

ISSN 0043-1397

YÖKSİS OpenAlex SJR Q1 JCR Q1 Citations 96 Top 10% Percentile 93.4% FWCI 3.91
Year
2014
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Water Resources Research
  • Catalog match (ISSN) Water Resources Research
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

Regional evapotranspiration (ET) can be estimated using diagnostic remote sensing models, generally based on principles of energy balance closure, or with spatially distributed prognostic models that simultaneously balance both energy and water budgets over landscapes using predictive equations for land surface temperature and moisture states. Each modeling approach has complementary advantages and disadvantages, and in combination they can be used to obtain more accurate ET estimates over a variety of land and climate conditions, particularly for areas with limited ground truth data. In this study, energy and water flux estimates from diagnostic Atmosphere-Land Exchange (ALEXI) and prognostic Noah land surface models are compared over the Nile River basin between 2007 and 2011. A second remote sensing data set, generated with Penman-Monteith approach as implemented in the Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16 ET product, is also included as a comparative technique. In general, spatial and temporal distributions of flux estimates from ALEXI and Noah are similar in regions where the climate is temperate and local rainfall is the primary source of water available for ET. However, the diagnostic ALEXI model is better able to retrieve ET signals not directly coupled with the local precipitation rates, for example, over irrigated agricultural areas or regions influenced by shallow water tables. These hydrologic features are not well represented by either Noah or MOD16. Evaluation of consistency between diagnostic and prognostic model estimates can provide useful information about relative product skill, particularly over regions where ground data are limited or nonexistent as in the Nile basin.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

96 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. MUSTAFA TUĞRUL YILMAZ ORTA DOĞU TEKNİK ÜNİVERSİTESİ
  2. Martha C Anderson
  3. Ben Zaitchik
  4. Hain Chris R
  5. Crow Wade T
  6. Mutlu Ozdogan
  7. Chun Jong Ahn
  8. Jason Evans
  9. ÇETİN KANTAR
  10. ŞEVKİ ARSLAN
  11. İLKER YILDIZ