SAHRA Phoenix Albuquerque Tucson Sevilleta PILPS San Pedro - Sevilleta Lucky Hills Kendall luis.bastidasusu.edu
PILPS Semi Arid Experiment USA ArizonaNew Mexico Phoenix Albuquerque Kendall Lucky Hills Tucson Sevilleta L. BastidasH. Gupta, B. NijssenW. EmmerichE. Small Sponsors SAHRA
luis.bastidasusu.edu Sevilleta San Pedro LocationsLocations Site Longitude West Latitude North Elevation [m.a.s.l.] Precipitation [mm/year] Temperature [ C] Lucky Hills Shrubland 110 03’05’’31 44’37” Kendall Grassland 109 56’28”31 44’10” Tucson Shrub/cacti 111 49’48”32 13’01” Sevilleta Grassland 106 43’30”34 20’30” Sevilleta Shrubland 106 44’39”34 20’05”
luis.bastidasusu.edu Sevilleta San Pedro Forcings Outputs Spin up Period Data Supplied Calibration Period Data Supplied Evaluation Period Data NOT supplied Forcings2000 Outputs Forcings Outputs San Pedro Shrub & Grass Sevilleta Shrub & Grass Tucson Mixed Shrub & Cacti Split Sample Test
luis.bastidasusu.edu Sevilleta San Pedro Science Questions 1.What is the ability of the models to reproduce the water, energy, and carbon exchanges in semi-arid environments? 2.Are the current (usually single) representations of semi- arid lands in the models enough to reproduce the different environments that exist in those areas? 3.Does model calibration reduce the among-model range in the model simulations? 4.How much influence does the model parameterization have on the parameter estimations of “physically meaningful” parameters? 5.Do current carbon representations, developed for forests, properly reproduce carbon exchanges over vegetated arid lands?
luis.bastidasusu.edu Sevilleta San Pedro Information to be supplied Rainfall and snowfall. Wind speed. Air temperature. Specific humitidy, derived from relative humidity at the Lucky Hills and Kendall sites. Incident shortwave radiation Incident longwave radiation, from N-LDAS. Surface pressure form NCEP model outputs. Forcings Vegetation type Vegetation cover fraction Height of vegetation Leaf Area Index Surface albedo Longwave emissivity Ancillary Information
luis.bastidasusu.edu Sevilleta San Pedro Analysis on Monthly mean Daily mean Daily amplitude Daily phase Min and max of the diurnal cycle Values at each time step
luis.bastidasusu.edu Sevilleta San Pedro
luis.bastidasusu.edu Sevilleta San Pedro Data Handling
luis.bastidasusu.edu Sevilleta San Pedro TimelineTimeline June 2003, Submission of final experimental protocol August 27-29, 2003, Workshop for training of participants in the use of the multi-criteria procedures September 2003, Distribution of forcing data to the participants through website September 30, 2003, submission of model information and default parameter sets used by the models for semi-arid areas. October 31, 2003, Submission of default parameter simulations November 1, 2003, Distribution of calibration data January 31, 2004, Deadline for submission of results both ad-hoc and multi-criteria calibrations May 2004, Workshop for analysis of preliminary results.
luis.bastidasusu.edu Sevilleta San Pedro So Far … USA - COLA (Paul Dirmeyer, Xiang Gao) USA - NCEP Ken Mitchell Dag Lohmann Qingyun Duan USA - VISA U Texas Austin (Liang Yan, Guofeng Niu) USA - CLM2 U Texas Austin (Liang Yan, Guofeng Niu) USA - Mosaic, Catchment NASA GSFC (Randy Koster) USA – SSib, UCLA – Yonkang Xue CANADA - CLASS - Diana Verseghy FRANCE - ORCHIDEE MeteoFrance (Jan Polcher-Nicolas Viovy) AUSTRALIA CIRES - Andy Pitman RUSSIA Russian Academy of Sciences, Institute of Geography (Andrey Shmakin) RUSSIA Russian Academy of Sciences, Institute of Water Problems (Yevgeniy Gusev, Olga Nasonova)
luis.bastidasusu.edu Sevilleta San Pedro MOSCEM Algorithm F1F1 F2F2 F1F1 F2F2 F1F1 F2F2 1/8 4/8 2/8 10/8 9/8 10/8 12/8 F1F1 F2F2
luis.bastidasusu.edu Sevilleta San Pedro