PPT-The Validation of Climate Models:

Author : pasty-toler | Published Date : 2017-12-14

The Development of Essential Practice Richard B Rood University of Michigan Wundergroundcom NOAA ESRL 29 February 2012 Deep Background As a manager at NASA I felt

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The Validation of Climate Models:: Transcript


The Development of Essential Practice Richard B Rood University of Michigan Wundergroundcom NOAA ESRL 29 February 2012 Deep Background As a manager at NASA I felt a responsibility to deliver a series of model products addressing a specific set of scientific capabilities on time on budget. May 2013. Neil Comer. Senior Climatologist, . Risk Sciences International. Adjunct, . University of Prince Edward Island. University of Toronto-Scarborough. Information Overload . ?. Headlines. Climate Science: Time to raft up. Ovidiu P. â. rvu. , PhD student. Department of . Computer Science. Supervisors: Professors . David Gilbert. and . Nigel Saunders. Why?. 2. Predicted. behaviour. Simulations. Natural. biosystem. Computational. hadronics. J. Apostolakis. PH/SFT. 1. Coordination, release preparation . (staff). G4 Spokesperson/SB Chair, Release manager/QA. Physics Validation . (mix of staff/associates/fellow). Thin-target benchmark data. The Development of Essential Practice. Richard B. Rood. University of Michigan. Wunderground.com. NOAA, ESRL, 29 February 2012. Deep Background. As a manager at NASA . I felt a responsibility to deliver a series of model products addressing a specific set of scientific capabilities, on time, on budget.. radiation parameterizations. R. Pincus, University of Colorado; Eli . Mlawer. , Atmospheric and Environmental Research, and co-authors. This study reports on a recent . intercomparison. of radiation codes . The Development of Essential Practice. Richard B. Rood. University of Michigan. Wunderground.com. NOAA, ESRL, 29 February 2012. Deep Background. As a manager at NASA . I felt a responsibility to deliver a series of model products addressing a specific set of scientific capabilities, on time, on budget.. Cal. Dept. of forestry & fire protection, . Fire & resource assessment program. The use of climate in individual tree growth models, an example from the Sierra Nevada ecoregion. Western Mensurationists Meeting. Patrick Jantz, Tina. Cormier, Scott Zolkos, . Scott Goetz and the LCCVP Group. NASCB July 10, 2014. Missoula, MT. Photo credit: . Andri. . Kyrychok. Appalachian LCC. Appalachian LCC. Summarize existing species distribution model results for the eastern U.S. (Iverson et al. 2008, . for Stress Testing. Stress Testing: Latest Developments & Best Practice. September . 27-28. Martin Goldberg. Lead Consultant, Validationquant LLC. martin@validationquant.com. The Usual Caveats. This talk expresses my own personal opinions and may not represent the views of any past, present, or future employers. It may conflict with your views. Feel free to disagree.. Background. P. rotection . of natural areas from development is . a growing concern for many reasons. One of them is that threatened . and endangered . (T&E) species are . commonly regarded as being . Climate envelope models (CEMs) are a subset of species distribution models (SDM) which attempt to define a species’ climate “niche.” CEMs correlate species presence locations to a set of View. D.T.C.C. Model Validation Workshop. November 14-15, 2013. Martin Goldberg. martin@ValidationQuant.com. 1. The Usual Caveats. This presentation expresses my own personal opinions and may not represent the views of any past or future employers. Feel free to disagree.. andalloweachlayertotrainmoreindependentlyBatchnor-malizationisusuallyappliedafteractivationfunctionsitwillmakesurethatthevalueafteractivationwontgotoohighortoolowthuswecanapplyhigherlearningratetoshor The set of 16 initialized CMIP5 models is analyzed for predictions of the hiatus made from the mid-1990s. Could we have predicted the early-2000s hiatus of global warming in the 1990s?. Impact. If the recent methodology of initialized decadal climate prediction could have been applied in the mid-1990s using the CMIP5 multi-models, both the negative phase of the IPO in the early 2000s as well as the hiatus could have been simulated, with the multi-model average performing better than most of the individual models. .

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