70 results were found for 【H-PAY.ORG】全新Twitter(X)账号已验证手机号 bt1a4.

Results:

• 11. Refsgaard_2-uncertainty

  a probability of an adverse event occurring and a measure of the associated event. Larger consequence and larger probability lead to a larger overall risk (e.g. Risk = Probability x Damage) Conclusions – Part 1 Terminology • Be aware of ambiguities in terminology used by others – and be specific defining the terminology you use Concepts • Uncertainty assessment should influence the entire /media/loftslag/Refsgaard_2-uncertainty.pdf

• 12. Tornado_Impacts_-_FMI_Presentation

  -scale Category P e r c e n t a g e o f C a t e g o r y F a t a l i t i e s Permanent Homes Casualties and Timing Casualties and Time of Day 150 200 250 I n d e x V a l u e Fatalities 0 50 100 Overnight Morning Early Afternoon Late Afternoon Late Evening I n d e x V a l u e Injuries Nocturnal Tornadoes 7 8 9 10 R a t i o N i g h t t o O t h e r T i m e s 0 1 2 3 4 5 6 F0 F1 F2 F3 F4 F /media/loftslag/Tornado_Impacts_-_FMI_Presentation.pdf

• 13. Lettenmaier_Dennis_CES_2010pdf

  model regional projections. • Development of multiple 50-km regional climate scenarios for use in impacts assessments. • Evaluation of regional model performance over North America. www.narccap.ucar.edu 50-km Grid GFDL CGCM3 HADCM3 CCSM MM5 X X1 RegCM X1** X CRCM X1** X HADRM X X1 RSM X1 X WRF X X1 Red = run completed Drawbacks of dynamical downscaling • Requires postprocessing for bias /media/ces/Lettenmaier_Dennis_CES_2010pdf.pdf

• 14. Alam_Ashraful_CES_2010

  (ECT) Working paths and machinery transportation + C Rotation period Plant production and transportation Site preparation a r b o n Planting E n e r d i o Thinnings/ harvesting operations h di g y i x i d e Emission parametersEcosystem model S ort stance transportation Long distance n p u t E m i s Emission calculation tool transportation Chipping s i o n CO2 balance 14 Energy wood /media/ces/Alam_Ashraful_CES_2010.pdf

• 15. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

  climate changes between the CMIP3 and ENSEMBLES simulations 15 4. Impact of RCM data on forecasts of climate change 18 5. Probabilistic projections of temperature and precipitation change 24 5.1 Best estimates and uncertainty ranges of temperature and precipitation change 24 5.2 How probably will temperature increase (precipitation change) by at least X°C (Y%)? 28 6. Conclusions 34 References /media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf

• 16. Kok_1-scenarios-lecture-1

  scale: The Hierarchy Theory • Emerged as part of a movement toward a general science of complexity • Rooted in various other disciplines but operationalised by ecologists in the 1970s and 1980s • Key references: Allen, T. F. H. and T. B. Starr. 1982. Hierarchy: perspectives for ecological complexity. University Chicago Press. Allen T. F. H. and T. Hoekstra. 1992. Toward a unified ecology /media/loftslag/Kok_1-scenarios-lecture-1.pdf

• 17. Group5-Stakeholders_involvement

  /EPP 2 Stakeholders analysis 26 August 2011 PM/YZ/EPP 3 Stake h o l d e r s P u b l i c / p r i v at e P o w e r l e v e l (“ n u i s an ce” ca p a c i t y ) O r i e n tat i o n H or s t e n s m uni c ipal i t y ( c o m pe t e n t a u t h ori t y ) P u b l i c S t ron g Go v ernanc e N eighbour mun i c i p ali t y P u b l i c S t ron g Go v ernanc e Poli c y /media/loftslag/Group5-Stakeholders_involvement.pdf

• 18. Keranen_Jaana_CES_2010

  nostaa, m utta oh ijuoksutu ksia tulee Sähkönvas tus kasvaa -> energ iahäv iö ita Muuntajien elinikä lyhenee Jääkannen m uodostaminen h idastuu Very likely, the probab ility that the next decade is warmer is 90% . Ilm iö 1 .1 – korkeammat läm pötilat etenkin talvella Skenario 1. Lä mpimäpi i lmasto O ma luokitteluOma luokit te lu Nykyiset t ai tuleva t varautumiskahdo llisuudet /media/ces/Keranen_Jaana_CES_2010.pdf

• 19. Hare-2011-ParticipatoryModelling

  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 Fr am ew o rk Cr ite ria u se d M ain pu rp o se o fframewor k Participator y m od ell in g purpos e Particip ator y structur e Contro lo f
  ow of in for m a tio n betwee n stakeholder s Timin g of event s Participatio n mod e Mo de l typ e Participator y m et ho ds use d Actor sinvolve d (at eac h /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 20. Group-1_Scenarios-for-AWM

  i on c a p ac i t y A r ea of r e s i d en c e (Flood p r one /non p r one a r eas) Un c e r t a n t i e s H i g h wi l l i n g n e s s t o p a y L o w wi l l i n g nes to pay D i k e s H i gh t a x a t i on - E arly w arn i n g s y s t e m s - Sof t s t r uct u r a l m e as u r e s -Community training L o w taxation Risk P e r c e p t i o n B e n e f i /media/loftslag/Group-1_Scenarios-for-AWM.pdf