55 results were found for H 정보이용료현금화 「TKTAKA9.COM」 티켓타카 I 정보이용료현금화 전문 포탈 구글정보이용료상품권✔소개된 가격대였습니다./.

Results:

• 31. High resolution precipitation maps for Iceland

  maps for 1971-2000 Daily precipitation maps are available on request and further information on the making of the maps. IMO's contacts for this project are Philippe Crochet and Tómas Jóhannesson. Reference: Crochet, P., T. Jóhannesson, T. Jónsson, O. Sigurðsson, H. Björnsson, F. Pálsson and I. Barstad (2007): Estimating the spatial distribution of precipitation in Iceland using a linear model /weather/articles/nr/1625

• 32. Hock_Regine_CES_2010rs

  Projections -50% -48%-73% -78% -80% +3% Storglaciären Mårmaglaciären Scandinavia Comparison with all other glacier regions Volume reduction and sea-level equivalent (SLE) until 2100 for 19 glacier regions Radic and Hock, submitted Antarctica Sub-Antarctic Islands Greenland New Zealand South America II South America I Iceland Arctic Canada West Canada and West US Alaska High Mountain Asia North /media/ces/Hock_Regine_CES_2010rs.pdf

• 33. norsem_lindholm

  Neotectonics in Nordland; NEONOR 2 C. Lindholm, O. Olesen, I. Janutyte, S. Gradman, M. Keiding, H. Kierulf, M. Ask, J. Dehls, Y. Maystrenko, F. Riis, L. Rise and other project partners The Nordland shore region is known to be seismically active with deep local sediment basins on the continental shelf that stretches some 200 km west of the coastline. The offshore areas west of Nordland have /media/norsem/norsem_lindholm.pdf

• 34. Statistical Analysis

  Publications and presentations Statistical Analysis International w/peer-review Fleig, A., Tallaksen, L.M., Hisdal, H /ces/publications/nr/1943

• 35. VI_2015_007

  be considered sufficiently homogeneous to form a single region (H < 2). A first IFM (IFM-CLU) was defined using one single homogeneous region identified by cluster analysis, and all available observed AMF series (excluding the target site). Table 4 presents the H-statistics obtained when the ROI method was used to define homogeneous groups of catchments, with and without target site. Appendix I /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf

• 36. Kurpniece_Liga_CES_2010

  i s c h a r g e m 3 / s Observed 1961-90 MetNo-HIRLAM-HadCM3 A1B 2021-50 DMI-HIRLAM-ECHAM5 A1B 2021-50 SMHI-RCA3-BMC A1B 2021-50 Observed and modeled runoff , Aiviekste 0.00 20.00 40.00 60.00 80.00 100.00 120.00 Observed Modeled Reference mod SMHI 1961-90 mod SMHI 2021-50 Reference mod DMI 1961- 90 mod DMI 2021-50 Reference mod MetNO 1961-90 mod MetNO 2021-50 MAM JJA SON DJF m3/s Monthly /media/ces/Kurpniece_Liga_CES_2010.pdf

• 37. Lawrence_Deborah_CES_2010

  ECHAM4/OPYC3 NorClim/HIRHAM 25x25 km 'Empirical Adjustment' to 1 x 1 km 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900 1 10 100 1000 Return period (years) P e a k d a i l y d i s c h a r g e ( m 3 / s ) 1981-2010 GEV from annual max series 2021-2050 GEV from annual max series 2021 - 2050 Annual maximum series 1981 - 2010 Annual maximum series 1981-2010 200-year flood 2021 /media/ces/Lawrence_Deborah_CES_2010.pdf

• 38. GA_2009_91A_4_Andreassen

  the principalmethods have not changed much over the years, theamount of field work has varied. In the first 15 yearsthe monitoring programme at Storbreen was com-prehensive, often three or more snow density pits were dug, snow depth was measured at about 600points and ablation was measured on 30 stakes evenly distri uted on the glacier (Liestøl 1967).Based on experience of the snow pattern, the ob- servations /media/ces/GA_2009_91A_4_Andreassen.pdf

• 39. VI2010-006_web

  Veðurstofu Íslands Halldór G. Pétursson, Náttúrufræðistofnun Íslands H æ t t u matsnefnd Akureyrarbæjar 4 Efnisyfirlit 1 Inngangur 7 1.1 Starf hættumatsnefndar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.2 Vinnuferli Veðurstofu Íslands . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3 Efnisatriði og kaflaskipting /media/vedurstofan/utgafa/skyrslur/2010/VI2010-006_web.pdf

• 40. 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