32 results were found for WA 0812 2782 5310 Tukang Cat Rumah Minimalis Sederhana 2 Lantai Type 21 Karangdowo Klaten.

Results:

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

  Personality type differences between Ph.D. climate researchers and the general public: implications for effective communication C. Susan Weiler & Jason K. Keller & Christina Olex Received: 27 August 2009 /Accepted: 28 July 2011 / Published online: 2 September 2011 # The Author(s) 2011. This article is published with open access at Springerlink.com Abstract Effectively communicating the complexity /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf

• 2. Journal_of_Hydrology_Veijalainen_etal

  countries in hydrological climate change studies, and in Scandinavia HBV is the most commonly used model type (Vehviläinen and Huttunen, Table 2 Climate scenarios used in the study (Finnish Meteorological Institute, ENSEMBLES data archive) and their projected annual changes in temperature and precipitation in Finland by 2070–2099 compared with the reference period 1971–2000. The greatest /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 3. Hare-2011-ParticipatoryModelling

  lcolumn ) 3Participatory Modelling in the Water Sector Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment Env. Pol. Gov. (2011) DOI: 10.1002/eet 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 • participatory modelling purposes, • model type, • stakeholders involved, • timing /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 4. VI_2021_008

  -time and detects signal characteristics similar to previously observed eruptions using a three-fold detection procedure based on: 1) an amplitude threshold; 2) the signal-to-noise ratio; and 3) an emergent ramp-like shape. Data from six Icelandic eruptions was used to assess and tune the module, which can provide 10–15 minutes of warning for Hekla up to over two hours of warning for some other /media/vedurstofan-utgafa-2021/VI_2021_008.pdf

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

  These working hypotheses have been further developed into a methodology for evaluating the level of Adaptive and Integrated Water Management, which resulted in an ana- lytical framework for assessing regime characteristics, consisting of nine different dimensions of variables: 1. Agency 2. Awareness Raising & Education 3. Type of governance 4. Cooperation structures 5. Policy development /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 6. Alam_Ashraful_CES_2010

  • Methodology • Key findings • Conclusions 2 Forestry in Finland 1. Land area distribution 2. Species distribution Total Forestry land 26.3 mill. ha 3. Growing stocks, increment and drain 4. Site type distribution Source: Finnish Forest Research Institute, 2008 3 Forest management Final felling Timber Energy biomass Thinning Timber Pre-commercial or energy biomass thinning Regeneration Regeneration 4 /media/ces/Alam_Ashraful_CES_2010.pdf

• 7. 2010_017

  m J M5 [C°] -3 obs. [C°] -4 nce 1 re 5. Comp 26); an int temperatu this system y gridded v picion abo -Jökulsá w similar dif han observ h elevation ces the effe months No ly only on high the tem n band wi refore be s onthly tem an Feb Ma .2 -3.1 -3. .3 -4.1 -3. .1 1.0 0.6 arison of m erpolation re is shown atic differe alues, see T ut the qual atershed; b ference wa ations for t gradient fo /media/ces/2010_017.pdf

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

  drainage works, and land-cover and land-use change. Two other (sometimes indistinguishable) challenges to stationarity have been exter- nally forced, natural climate changes and low-frequency, internal variability (e.g., the Atlantic multidecadal oscillation) enhanced by the slow dynamics of the oceans and ice sheets (2, 3). Planners have tools to adjust their analyses for known human distur- bances /media/loftslag/Milly_etal-2008-Stationarity-dead-Science.pdf

• 9. Lawrence_Deborah_CES_2010

  ) Green – Type 2: 34 – 66% (transitional) Blue – Type 3: < 33% (rainfall dominance) ⇒ Change towards increasing occurrence of autumn/winter peak flows in annual series Relative magnitude of rainfall- induced peak flows in annual series Ratio of Max (Aug – Feb) Max (all months) 1961 - 1990 2021-2050 ⇒Largest peak flow in some ’snowmelt’ areas is actually an autumn/winter rainfall flood Median /media/ces/Lawrence_Deborah_CES_2010.pdf

• 10. Refsgaard_etal-2007-Uncertainty-EMS

  is given by Helton and Davis (2003). 4.1. Data uncertainty engine (DUE) Uncertainty in data may be described in 13 uncertainty cat- egories (Table 2) depending on how data varies in time and space (Brown et al., 2005). Each data category is associated with a range of uncertainty models, for which more specific probability density functions (pdfs) may be developed with different simplifying assumptions /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf