58 results were found for WA 0812 2782 5310Ongkos Pasang Rangka Atap Baja Ringan Model Cremona Sragen Sragen.

Results:

• 1. Milly_etal-2008-Stationarity-dead-Science

  6University of Washington, Seattle, WA 98195, USA. 7NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA. *Author for correspondence. E-mail: cmilly@usgs.gov. An uncertain future challenges water planners. Published by AAAS on July 12, 201 1 www.sciencemag.or g Downloaded from 1 FEBRUARY 2008 VOL 319 SCIENCE www.sciencemag.org574 POLICYFORUM combined with opera- tions /media/loftslag/Milly_etal-2008-Stationarity-dead-Science.pdf

• 2. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

  their audience. Climatic Change (2012) 112:233–242 DOI 10.1007/s10584-011-0205-7 C. S. Weiler (*) Office for Earth System Studies, Whitman College, Walla Walla, WA 99362, USA e-mail: weiler@whitman.edu J. K. Keller School of Earth and Environmental Sciences, Chapman University, Orange, CA 92866, USA C. Olex The Point, 121 Jewett Street, Newton, MA 02458, USA 1 Introduction Of all the applications /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf

• 3. IPPC-2007-ar4_syr

  judgment and statistical analysis of a body of evidence (e.g. observations or model results), then the following likelihood ranges are used to express the assessed probability of occurrence: virtually certain >99%; extremely likely >95%; very likely >90%; likely >66%; more likely than not > 50%; about as likely as not 33% to 66%; unlikely <33%; very unlikely <10%; extremely unlikely <5 /media/loftslag/IPPC-2007-ar4_syr.pdf

• 4. 2010_017

  Improving groundwater representation and the parameterization of glacial melting and evapotranspiration in applications of the WaSiM hydrological model within Iceland Bergur Einarsson Sveinbjörn Jónsson VÍ 2010-017 Report Improving groundwater representation and the parameterization of glacial melting and evapotranspiration in applications of the WaSiM hydrological model within /media/ces/2010_017.pdf

• 5. Hare-2011-ParticipatoryModelling

  ea th , th e m et ho d u se d at th is st ag e fo r th es e st ak eh o ld er typ es is sp ec i
  ed .Sh oul d ther e be tw o o r mor e model sbein g develope d in th e process ,the n th e typ e o fmode lt o whic h th e metho d wa s applie d is show n in parentheses .O T re fe rs to th e co m po si tio n o ft he o rg an iz in g te am . Fo r o rg an iz in g te am in vo lve m en t in di ffe re n t pa rt /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 6. Journal_of_Hydrology_Veijalainen_etal

  in flooding were evaluated at 67 sites in Finland with var- iable sizes of runoff areas using a conceptual hydrological model and 20 climate scenarios from both glo- bal and regional climate models with the delta change approach. Floods with a 100-year return period were estimated with frequency analysis using the Gumbel distribution. At four study sites depicting dif- ferent watershed types /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 7. VI_2009_006_tt

  –conduit model for subglacial water flow was used to simulate the jökulhlaup. The model was forced with the estimated outflow from the subglacial lake. The simulations were not successful as a realistic subglacial pressure field could not be obtained for a reasonable fit of the jökulhlaup discharge at the glacier terminus. This indicates that the physical basis of the model is insufficient to provide /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf

• 8. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 9. VI_2021_008

  /media/vedurstofan-utgafa-2021/VI_2021_008.pdf

• 10. Hare_1_Part2

  A couple of methods in more detail Matt Hare, hare@gmx.de 2011 – Summer School Hands-on Exercise Cognitive mapping • Class: Interview • Number: individual • Goals – Knowledge elicitation – System/Problem identification – Measures identification Group model building • Class: Workshop • Number: small group • Goals ● Knowledge elicitation ● System/Problem identification ● Measures /media/loftslag/Hare_1_Part2.pdf