81 results were found for WA 0859 3970 0884 Jasa Pagar R.

Results:

• 11. Group-1_Scenarios-for-AWM

  example can be given by the low cost still flood risk adaptation by implementing early warning system. But there is one more suggestion dfor stakeholders to restrict infrastructure in the cities of Horsens. Fiva PhD Courses : Adaptive management in relation to climate change (august 22 2011 - august 26 2011) 2 / 3 R es e a r c h Flood f r equenc y a n d i n t ensi t y c o m m un i c a t /media/loftslag/Group-1_Scenarios-for-AWM.pdf

• 12. 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

• 13. Alam_Ashraful_CES_2010

  FOREST BIOMASS FOR ENERGY PRODUCTION – POTENTIALS, MANAGEMENT AND RISKS UNDER CLIMATE CHANGE Ashraful Alam, Antti Kilpeläinen, Seppo Kellomäki School of Forest Sciences, University of Eastern Finland, Joensuu F t Cli t d R bl E I t Ri k d Ad t tiu ure Cl ma e an enewa e nergy – mpac s, s s an ap a on Oslo, Norway 2 June, 2010 Contents • Forestry in Finland • Challenges • Objectives /media/ces/Alam_Ashraful_CES_2010.pdf

• 14. Publications 2022

  in Iceland: Climate projections and historical changes in precipitation type Andréa-Giorgio R. Massad, Guðrún Nína Petersen, Halldór Björnsson, Matthew J. Roberts & Tinna Þórarinsdóttir99 20,6 /about-imo/publications/2022/

• 15. AnneFleig_May2010_CES

  E l b e i n D r e s d e n , A p r i l 2 0 0 7 CES conference, Oslo, Norway, 31 May - 2 June 2010 Typical features • develop slowly, • become severe when they cover a large region and persist for an extended period. E l b e i n D r e s d e n , A p r i l 2 0 0 7 ( s p i e g e l . d e ) Anne K. Fleig et al. “Regional hydrological droughts and weather types in north /media/ces/AnneFleig_May2010_CES.pdf

• 16. Lettenmaier_Dennis_CES_2010pdf

  interpolated to VIC scale Regional Bias: spatial example GSM: NCEP Global Spectral Model obs prcp GSM prcp obs temp GSM temp JULY Verification using NCEP Global Spectral Model (GSM) output Process into the daily VIC-scale input time series Force hydrology model to produce streamflow Ohio R. flow @ Metropolis, IL Start with GSM-scale monthly observed T & P (“unbiased”) time series /media/ces/Lettenmaier_Dennis_CES_2010pdf.pdf

• 17. Dyrrdal_Anita_CES_2010

  Results W i n t e r t e m p e r a t u r e Max snow depth Trend slope Number of snow days Period II P e r i o d I I I Max snow depth Number of snow days Norwegian Meteorological Institute met.no Correlation analysis (1961-08) 138 mutual stations Introduction Data & Methods Results Correlation with winter temperature Correlation with winter precipitation In warmer regions both snow parameters /media/ces/Dyrrdal_Anita_CES_2010.pdf

• 18. Sigurður Th. Rögnvaldsson

  Veðurstofu Íslands VÍ-G99007-JA02. Sigurður Th. Rögnvaldsson 1999. Kort yfir sjálfvirkt ákvarðaðar staðsetningar jarðskjálfta á Íslandi. URL: http://hraun.vedur.is/ja/englishweb/index.html, 21.06.1999. Sigurður Th. Rögnvaldsson og R. Slunga 1993. Routine fault plane solutions for local networks: A test with synthetic data. Bull. Seism. Soc. Am. 83, pp. 1232 1247. Sigurður Th. Rögnvaldsson og R /earthquakes-and-volcanism/conferences/jsr-2009/sigurdur/

• 19. Sigurður Th. Rögnvaldsson

  Veðurstofu Íslands VÍ-G99007-JA02. Sigurður Th. Rögnvaldsson 1999. Kort yfir sjálfvirkt ákvarðaðar staðsetningar jarðskjálfta á Íslandi. URL: http://hraun.vedur.is/ja/englishweb/index.html, 21.06.1999. Sigurður Th. Rögnvaldsson og R. Slunga 1993. Routine fault plane solutions for local networks: A test with synthetic data. Bull. Seism. Soc. Am. 83, pp. 1232 1247. Sigurður Th. Rögnvaldsson og R /earthquakes-and-volcanism/conferences/jsr-2009/sigurdur

• 20. Climatological data

  values t mean temperature tx average daily maximum temperature txx highest maximum temperature month/year txx_dag1 date of highest maximum temperature tn average daily minimum temperature tnn lowest minimum temperature month/year tnn_dag1 date of lowest minimum temperature rh mean relative humidity r preciptiation total rx maximum 24-hour precipiation /climatology/data/