12 results were found for ai 工具网站,免费的ai作图网,ai人工智能网页版,ai无损放大网页版,ai 网盘搜索,等欢迎访问豌豆Ai站群搜索引擎系统官方网站:www.wd.chat.

Results:

• 1. ces-glacier-scaling-memo2009-01

  of the area and mean elevation for the ice-free and glaciated parts of each elevation band or grid cell. The areas are denoted by ai and gi, and the elevations by zi and yi, for the ice-free and the ice-covered areas, respectively. At the end of each hydrological year, the hydrological model will provide a simulated value for the total mass balance of each glacier group within the watershed, DVa /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 2. Lawrence_Deborah_CES_2010

  
  
                                !  !   0 20 40 60 80 100 120 140 jan feb mar apr mai jun jul aug sep okt nov des m m / m å n e d 55550 Hafslo 60 80 100 120 140 jan feb ar apr ai j j l t m m / m å n e d 55550 Hafslo 54130 Lærdal Ensemble approach for probabilistic hydrological projections Catchment /media/ces/Lawrence_Deborah_CES_2010.pdf

• 3. VI_2014_001

  distribution and parameter estimation methods The Generalized Extreme Value (GEV) distribution (Jenkinson, 1955) is adopted to model the flood frequency distribution at each site, from the AMF series: Qi(D;T ) = ei + ai ki (1 [ ln(1 1=T )]ki) if ki 6= 0 ei ailn( ln(1 1=T )) if ki = 0 (6) where ei is the location parameter, ai is the scale parameter and ki is the shape parameter. The method of probability /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf

• 4. 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

• 5. Kok_1-scenarios-lecture-1

  of complex interdependencies, the effort to solve one aspect may create other problems. Complex problem: A problem with many relationships between parts that give rise to collective behaviour of the system. Complex system approach A broad term encompassing a research approach to problems in many diverse disciplines including computer science, AI, biology, sociology, etc. Common elements /media/loftslag/Kok_1-scenarios-lecture-1.pdf

• 6. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  cia l sy ste m ): th re e m ai n gr ou ps o fthreat s ar e at th e scene : cl im at e, so ci o -e co n o m ic s an d gover nanc e 1: M ai nl y ep ist em ic pl us som e onto logi ca l 2:S cenari o Pa rti ci pa to ry pr oc es s (PP ) imp ortan tt o de al w ith un certaint y Pa rti cip at o ry pr o ce ss (PP )im po rta n tt o de al w ith u n ce rta in ty : Pa rti ci pa to ry go al se tti ng :c o n /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

• 7. VI_2015_007

  distribution and parameter estimation method The Generalized Extreme Value (GEV) distribution (Jenkinson, 1955) was adopted to model the flood frequency distribution from the AMF series: Qi(D;T ) = ei + ai ki (1 [ ln(1 1=T )]ki) if ki 6= 0 ei ailn( ln(1 1=T )) if ki = 0 (7) where ei is the location parameter, ai is the scale parameter and ki is the shape parameter. The method of probability weighted /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf

• 8. VI_2014_005

  model errors discussed in the previous section, a model time-series of 2-m temperature or 10-m wind speed, Mi(t), interpolated to the i-th station location, can be linearly transformed such that the mean square error compared with the local station time-series is minimised. Generally, the corrected time-series is then given by M˜i(t) = ai Mi(t)+bi ; (2) where at each station location, the correction /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 9. Hare-2011-ParticipatoryModelling

  Simulatio n mode l (scientific ) Im pr o ve m o de l (quality ) Fa rm er s, Fa rm busines s advisor sNO P IN D Interview s NO P IN D Qu es tio n n ai re – verificatio n NO P OT :Researcher s M KA/ M M (re nements ) KA M Has e I Simulatio n mode l (scientific ; discussio n su pp o rt ) Im pr o ve m o de l (quality , acceptance ) Farmers ,loca l authorities , association s IN D Reques t fo rdat a N /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 10. IPPC-2007-ar4_syr

  /media/loftslag/IPPC-2007-ar4_syr.pdf