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65 results were found for การจัดอันดับ Google Output(TG:e10838).zsu.


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  • 21. Kok_JGEC658_2009

    in the models, while on the other hand, models require quantitative information on a wealth of parameters that is often difficult to extract from storylines. In other words, there is a mismatch between storylines and model parameters (Steps 3–4 in Fig. 1), as well as between model output and revised stories (Steps 5–6). In practice, particularly the translation of stories into quantified model /media/loftslag/Kok_JGEC658_2009.pdf
  • 22. Refsgaard_etal-2007-Uncertainty-EMS

    from computer implementation of the model, e.g. due to numer- ical approximations, resolution in space and time, and bugs in the software. The total uncertainty on the model simulations, model output uncertainty, can be assessed by uncertainty propagation taken all the above sources into account. 3.3. Nature of uncertainty Walker et al. (2003) explain that the nature of uncertainty can /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf
  • 23. CES_D2.4_task2_CMIP3_winds

    in the average wind speed between the baseline (or control) period 1971-2000 and the scenario period 2046-2065. These periods were chosen based on the availability of model output at daily time resolution. We have analyzed the surface geostrophic wind (hereafter Vg) rather than the actual simulated surface winds, because the latter are sensitive to the details of the boundary layer /media/ces/CES_D2.4_task2_CMIP3_winds.pdf
  • 24. Lawrence_Deborah_CES_2010

    areas from 3 to 15,000 km2 3 GCM/RCMs (with SRES A1B emissions) Echam5/HIRHAM5 BCM/RCA3 HadCM3Qref/HIRHAM 2 Methods for transferring RCM output to 1 x 1 km grid Delta change Empirical adjustment method (met.no) 25 calibrated hydrological models for 115 catchments Flood frequency analysis for 200-year flood ⇒ Construct pdfs from 150 results for each catchment Viksvatn (Hestadfjord) - 83.2 IS92a /media/ces/Lawrence_Deborah_CES_2010.pdf
  • 25. ces-glacier-scaling-memo2009-01

    "NA") and is ignored in case it is spec- ified. glacier-group-file2 Output file with the same column structure as glacier-group-file0. Total ice-covered area and total ice volume for each glacier group at the end of the hydrological year. The mass balance is not given. elevation-band/cell-file0 Input file. Definition of elevation-bands or cells within glacier groups in a reference state, for example /media/ces/ces-glacier-scaling-memo2009-01.pdf
  • 26. VI_2017_009

    The obtained parameters are then used to tune the GCMs’ output for future predictions (Schmidli et al., 2006). When this is done numerically, high resolution Regional Climate Models (RCMs) are used to run simulations for smaller areas using output from the GCMs (Liang et al., 2008). For this study we will focus on numerical downscaling by RCMs. The Coordinated Regional Climate Downscaling Experiment /media/vedurstofan-utgafa-2017/VI_2017_009.pdf
  • 27. Paper-Olafur-Rognvaldsson_91

    levels with the model top at 100 hPa and model output is every 6 hours. The domain setup is shown in Figure 1. The MM5 model was used with initial Figure 1: Domain setup of the MM5 model, horizontal grid size is 8 km. and lateral boundaries from the ERA40 re-analysis project to 1999. After that date, operational analysis, from the ECMWF were used. The ERA40 data were interpolated from /media/ces/Paper-Olafur-Rognvaldsson_91.pdf
  • 28. Kok_2-scenarios-lecture-2

    - Brazil Crimea - Ukraine Participatory FCMs – group model building Lower Tisza - Hungary Lake Peipsi - Estonia Participatory FCMs – dynamic output -2 -1.5 -1 -0.5 0 0.5 1 1.5 sta rt ve cto r loo p4 loo p8 loo p1 2 loo p1 6 loo p2 0 loo p2 4 loo p2 8 loo p3 2 loo p3 6 loo p4 0 loo p4 4 loo p4 8 C0; population C1; awareness C2; gap demand&supply C3; water quality C4; agriculture (intensive) C5; freq /media/loftslag/Kok_2-scenarios-lecture-2.pdf
  • 29. Perrels-CBA

    & realizations) • Improve learning capabilities of planning and analytical processes • Adaptive management approaches • Better / systematic monitoring – full evaluation cycles • Experience and data sharing (e.g. Adaptation Clearinghouse for Europe ACE) ..speeds up learning by more concurrent efforts • At the output side (adaptation solution alternatives): • What are the hedging alternatives next /media/loftslag/Perrels-CBA.pdf
  • 30. VI_2021_008

    a coherent, emergent signal in RSAM data (see Figure 2), raising the question: Can RSAM data be empirically used to detect volcanic tremor events preceding eruptions? 6 Figure 1. Photo of the monitoring setup in the IMO’s natural hazards monitoring room. The right screen shows real-time earthquake and tremor data. Tremv output is displayed in red box with the last 24 hrs of all frequency /media/vedurstofan-utgafa-2021/VI_2021_008.pdf

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