Remote sensing data assimilation for a prognostic phenology model-Reference-Cited by-同舟云学术

Remote sensing data assimilation for a prognostic phenology model

Published:2008-11-26 Issue:G4 Volume:113 Page:
ISSN:0148-0227
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:J. Geophys. Res.

Author:

Stöckli R.¹²³,Rutishauser T.⁴,Dragoni D.⁵,O'Keefe J.⁶,Thornton P. E.⁷,Jolly M.⁸,Lu L.¹,Denning A. S.¹

Affiliation:

1. Department of Atmospheric Science; Colorado State University; Fort Collins Colorado USA

2. Climate Services, Climate Analysis; MeteoSwiss; Zürich Switzerland

3. NASA Earth Observatory; Goddard Space Flight Center; Greenbelt Maryland USA

4. Institute of Geography, Oeschger Center for Climate Research; University of Bern; Bern Switzerland

5. Atmospheric Science Program, Department of Geography; Indiana University; Bloomington Indiana USA

6. Fisher Museum, Harvard Forest; Harvard University; Petersham Massachusetts USA

7. Terrestrial Sciences Section; National Center for Atmospheric Research; Oak Ridge Tennessee USA

8. US Forest Service; RMRS, Research, Saveland; Missoula Montana USA

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Earth-Surface Processes,Geochemistry and Petrology,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry,Oceanography,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2008JG000781/fullpdf

Reference114 articles.

1. Quantitative phenological observations of a mixed beech forest in northern Switzerland with digital photography;Ahrends;J. Geophys. Res.,2008

2. Ensemble-based simultaneous state and parameter estimation in a two-dimensional sea-breeze model;Aksoy;Mon. Weather Rev.,2006

3. An ensemble adjustment Kalman filter for data assimilation;Anderson;Mon. Weather Rev.,2001

4. A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts;Anderson;Monthly Weather Rev.,1999

5. Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century;Aono;Int. J. Climatol.,2008

Cited by 161 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM;International Journal of Digital Earth;2024-07-02

2. Unraveling phenological and stomatal responses to flash drought and implications for water and carbon budgets;Hydrology and Earth System Sciences;2024-04-22

3. Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge;Agricultural and Forest Meteorology;2024-02

4. How Land Surface Characteristics Influence the Development of Flash Drought through the Drivers of Soil Moisture and Vapor Pressure Deficit;Journal of Hydrometeorology;2023-09

5. Modeling Phenology Combining Data Assimilation Techniques and Bioclimatic Indices in a Cabernet Sauvignon Vineyard (Vitis vinifera L.) in Central Chile;Remote Sensing;2023-07-14