Clip meeting July 20, 2005 Items to discuss: 1.Planning RAMS model runs 1.Need to get benchmark for NCAR, have for other machines. 2.Also need to consider the amount of data that will be generated… Timing: need to factor in post-processing time, and write-up time. So have around 10 months to do initial runs. Need to have results with NPP changes by summer next year to take to East Africa for expert systems on responses to climate change. Then will later have follow-up runs 3.According to proposal: 1.Dynamic climate, no LUC (with our Clipcover & curves) 2.Dynamic land, static climate 3.Dynamic climate, LU scenarios (hi/low, most plausible) 4.Feedback every decade (HAVE to do this, close the loop) 4.Question of what land cover class change makes a difference, whether spatial distribution of change makes a difference (and whether we have time to look at that) 5.Snapshot high resolution (16 km) 6.Decadal low resolution (64 km): jumping ahead: , , If possible, add a decade. 7.Constantly running vs. time slice 8.Land cover classification schemes compared 9.Land use scenarios compared 10.NCEP vs GCM 2.GCM data CCM3 (?): Nathan finishing downloading, converting the files, needs to talk to Brent 3.Nathan: problem of soil moisture over-influences climate. Currently working on RAMS in 2000 for 4 months comparing RAMS output with TRMMS data. Thinks that we have to cut off the tweaking at this point due to time requirements of project. 4.Alagarswamy needs a decade of daily data (solar radiation, min/max temp, precip) from RAMS to do his projections of crop production 5.Bryan wants to do double number of runs with different scenarios: LUC as projected with LTM, and same amount of LUC but randomly distributed

1.Bryan: 2.Amelie Davis: learning LTM, adding UN pop data, moving towards rule-based model. Prepared hydro model, linking to LTM 3.MABEL: started working on her but had to drop her, will start again in 1 ½ wks 4.Kostas will work a bit on Mabel & Baysian things for dissertation 5.Could use: better climate data (current data, Corbett’s, has too big influence on LTM) 6.Uncertainty paper: fall semester 7.Role playing paper: fall semester

1.ERA 40 vs. CRU datasets. Problem with ERA40 data when compared to observed data, especially the precip. So decided couldn’t use it. The CRU data (0.5 degree) is downloaded but doesn’t appear to be georeferenced; we will ask Ruth about how to do it. Dave Lusch will come by Friday to look at it! CRU has monthly means & Alagar. can run program to get daily. 2.Alagarsamy/Jeff: Uganda field information – utility, need for other/ more? 3.Jing’s curves: found that esp for forest class averaged over 4 years & averaged spatially (0.1 degree), the curves weren’t very satisfying. Tried grasslands in dry area, curve was pretty good. Thought that problem in forest was due to cloud cover & water (zeros), and helped allot. Will re-do the averages to make new curves (borrow Nate’s machine too) 4.Sarah: will incorporate better climate & elevation, land use/cover data into NDVI co-kriging analyses. 5.Sigismond: looking at conflict over land & water resources in TZ, how affecting land use. 6.Ben: NDVI savanna analysis (vis a vis land management and precip) 1.Fuelwood study: need to ask Bryan what would LTM include? Working on using Schole’s equation for fuelwood collection impact (based on population, tree cover, climate etc) 2.Urbanization study 7.Publications: need to send info to David about what papers we have submitted, in press, conference papers, etc. 8.Manly Miles: space auditors coming. We need to show that we’re crowded & need more space 9.Beer on Friday? Harper’s has half off on Wednesdays.