Recent changes to Main_Page

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 17 Jun 2014 11:45:20 -0000

--- v47
+++ v48
@@ -10,7 +10,7 @@

 **A global-scale FPAR and LAI reanalysis dataset has been generated for the period 1960-2009 and is ready for use. Please see below in the download section!**

-[[img src=laimean.png]] 
+[[img src=Laimean.png]] 

 ## Status

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 17 Jun 2014 11:44:52 -0000

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 20 May 2014 19:31:08 -0000

--- v45
+++ v46
@@ -26,7 +26,7 @@

 ### Dataset

-Please download [here](ftp://ftp.cscs.ch/out/stockli/pheno_analysis/) the current 50 year long (1960-2009) global daily FPAR and LAI reanalysis dataset. 
+Please download [here](ftp://ftp.cscs.ch/out/stockli/phenoanalysis/Global-Prediction/) the current 50 year long (1960-2009) global daily FPAR and LAI reanalysis dataset. 

 ## Documentation

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 20 May 2014 19:31:08 -0000

--- v44
+++ v45
@@ -8,9 +8,7 @@

 ## News

-**The version 0.9 of the global reanalysis dataset has been generated and is ready for download. Please see below in the dataset section!**
-
-**Our peer-reviewed article 'A global Reanalysis of Vegetation Phenology' has been accepted for publication in Journal of Geophysical Research - Biogeosciences**
+**A global-scale FPAR and LAI reanalysis dataset has been generated for the period 1960-2009 and is ready for use. Please see below in the download section!**

 [[img src=laimean.png]]

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 20 May 2014 19:31:08 -0000

--- v43
+++ v44
@@ -32,9 +32,9 @@

 ## Documentation

-  * The local-scale mode of Pheno Analysis is documented in a peer-reviewed research article: R. Stöckli, T. Rutishauser, D. Dragoni, J. O. Keefe, P. E. Thornton, M. Jolly, L. Lu, and A. S. Denning. Remote sensing data assimilation for a prognostic phenology model. J. Geophys. Res. - Biogeosciences, 113(G04021): doi: 10.1029/ 2008JG000781 [[[file](http://downloads.sourceforge.net/phenoanalysis/stockli_modis_data_assimilation_phenology.2008.pdf?use_mirror=garr|PDF)]] 
-  * The regional- and global-scale mode of Pheno Analysis is documented in a peer-reviewed research article: R. Stöckli, T. Rutishauser, I. Baker, M. Liniger, and A. S. Denning (in press), A global reanalysis of vegetation phenology, J. Geophys. Res. - Biogeosciences. A preliminary copy of the PDF file is available from the authors. 
-  * A Users Manual and sample scripts with four local-scale and one regional-scale experiments is part of the download source package. 
+  * The local-scale mode of Pheno Analysis is documented in a peer-reviewed research article: R. Stöckli, T. Rutishauser, D. Dragoni, J. O. Keefe, P. E. Thornton, M. Jolly, L. Lu, and A. S. Denning. Remote sensing data assimilation for a prognostic phenology model. J. Geophys. Res. - Biogeosciences, 113 (G04021), doi: 10.1029/ 2008JG000781 [PDF](http://www.bluemarble.ch/files/publications/stockli_remote_sensing_data_assimilation.2008.pdf)
+  * The regional- and global-scale mode of Pheno Analysis is documented in a peer-reviewed research article: R. Stöckli, T. Rutishauser, I. Baker, M. Liniger, and A. S. Denning (in press), A global reanalysis of vegetation phenology, J. Geophys. Res. - Biogeosciences, 116 (G03020), doi:10.1029/2010JG001545 [PDF](http://www.bluemarble.ch/files/publications/stockli_global_reanalysis_phenology.2011.pdf)
+  * A User Manual and sample scripts with four local-scale and one regional-scale experiments is part of the download source code package (see above). 

 ## Outlook

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 20 May 2014 19:31:08 -0000

--- v42
+++ v43
@@ -24,7 +24,7 @@

 ### Code

-Please download [here](http://sourceforge.net/projects/phenoanalysis/files/phenoanalysis/) the current stable release of Pheno Analysis including a sample set of meteorological driver and satellite assimilation datasets for both local- and regional-scale data assimilation. 
+Please download [here](http://sourceforge.net/projects/phenoanalysis/files/) the current stable release of Pheno Analysis including a sample set of meteorological driver and satellite assimilation datasets for both local- and regional-scale data assimilation. 

 ### Dataset

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 20 May 2014 19:31:08 -0000

--- v41
+++ v42
@@ -56,6 +56,6 @@
   * Reto Stöckli, Blue Marble Research, Bern, Switzerland (website: <http://www.bluemarble.ch>) 
   * Scott Denning, Biocycle Research Group, Department of Atmospheric Science, Colorado State University, Fort Collins CO, USA (website: <http://biocycle.atmos.colostate.edu>)

-### Acknowledgements
+## Acknowledgements

 The NASA Energy and Water Cycle Study (NEWS) grant No. NNG06CG42G was the main funding source of this software. Computing resources were mainly provided by sub-contract 2207-06-016 issued by Science System and Application Inc. through NASA contract NAS5-02041. The MODIS Science Team and the MODIS Science Data Support Team provided the MOD15A2 and the MOD12Q1 data. Meteorological predictor data have been provided by the site PI’s and their teams participating the AmeriFlux and LBA projects as part of FLUXNET: Mike Goulden (Santarem Km83), Steven Wofsy (BOREAS NSA Old Black Spruce), Hans Peter Schmid (Morgan Monroe State Forest), Brian Amiro (BOREAS NSA Old Black Spruce) and Dennis Baldocchi (Tonzi Ranch). The first author is grateful to Arif Albayrak (NASA/GSFC GMAO) for his advice and comments on the ensemble data assimilation methodology.

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 20 May 2014 19:31:08 -0000

--- v40
+++ v41
@@ -51,7 +51,7 @@

 **Fellow researchers using the Pheno Analysis framework are happily welcome to address these questions in their own research!** ****

-### Contact
+## Contact

   * Reto Stöckli, Blue Marble Research, Bern, Switzerland (website: <http://www.bluemarble.ch>) 
   * Scott Denning, Biocycle Research Group, Department of Atmospheric Science, Colorado State University, Fort Collins CO, USA (website: <http://biocycle.atmos.colostate.edu>)

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 20 May 2014 19:31:08 -0000

--- v39
+++ v40
@@ -36,7 +36,7 @@
   * The regional- and global-scale mode of Pheno Analysis is documented in a peer-reviewed research article: R. Stöckli, T. Rutishauser, I. Baker, M. Liniger, and A. S. Denning (in press), A global reanalysis of vegetation phenology, J. Geophys. Res. - Biogeosciences. A preliminary copy of the PDF file is available from the authors. 
   * A Users Manual and sample scripts with four local-scale and one regional-scale experiments is part of the download source package.

-### Future
+## Outlook

 The regional-scale mode of Pheno Analysis is still in development with the following scientific and technical aims:

Main_Page modified by Reto Stockli

Reto Stockli — Tue, 20 May 2014 19:31:08 -0000

--- v38
+++ v39
@@ -30,7 +30,7 @@

 Please download [here](ftp://ftp.cscs.ch/out/stockli/pheno_analysis/) the current 50 year long (1960-2009) global daily FPAR and LAI reanalysis dataset. 

-### Documentation
+## Documentation

   * The local-scale mode of Pheno Analysis is documented in a peer-reviewed research article: R. Stöckli, T. Rutishauser, D. Dragoni, J. O. Keefe, P. E. Thornton, M. Jolly, L. Lu, and A. S. Denning. Remote sensing data assimilation for a prognostic phenology model. J. Geophys. Res. - Biogeosciences, 113(G04021): doi: 10.1029/ 2008JG000781 [[[file](http://downloads.sourceforge.net/phenoanalysis/stockli_modis_data_assimilation_phenology.2008.pdf?use_mirror=garr|PDF)]] 
   * The regional- and global-scale mode of Pheno Analysis is documented in a peer-reviewed research article: R. Stöckli, T. Rutishauser, I. Baker, M. Liniger, and A. S. Denning (in press), A global reanalysis of vegetation phenology, J. Geophys. Res. - Biogeosciences. A preliminary copy of the PDF file is available from the authors.