| Autor: |
Katherine D. Haynes, Ian T. Baker, A. Scott Denning, Sebastian Wolf, Georg Wohlfahrt, Gerard Kiely, Renee C. Minaya, John M. Haynes |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 12, Pp 4440-4465 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1942-2466 |
| DOI: |
10.1029/2018MS001541 |
| Popis: |
Abstract Grasslands are one of the most widely distributed and abundant vegetation types globally, and land surface models struggle to accurately simulate grassland carbon dioxide, energy, and water fluxes. Here we hypothesize that this is due to land surface models having difficulties in reproducing grassland phenology, in particular in response to the seasonal and interannual variability of precipitation. Using leaf area index (LAI), net primary productivity, and flux data at 55 sites spanning climate zones, the aim of this study is to evaluate a novel prognostic phenology model (Simple Biosphere Model, SiB4) while simultaneously illustrating grassland relationships across precipitation gradients. Evaluating from 2000 to 2014, SiB4 predicts daily LAI, carbon, and energy fluxes with root‐mean‐square errors < 15% and individual biases |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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