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W ind Resource Assessment      113


                 The output of the WRA is input to the financial analysis step, in
              which the financial viability of the project is assessed.


        Source of Wind Data
              There are three primary sources of wind data: Onsite measurement,
              network of weather stations, and numerical weather models. Onsite
              measurement is described in detail in Chapter 6. It forms the core
              input to the resource estimation and subsequent micrositing of wind
              projects.
                 Thesecondsourceisthenetworkofweatherstationsallaroundthe
              world that provide wind speed and direction data. Various organiza-
              tions collect and provide this data. Among them is the USA’s National
              Climatic Data Center (NCDC) of National Oceanic and Atmospheric
              Administration (NOAA). It provides standardized quality-controlled
              wind speed data at a height of 10 m for almost all airports worldwide.
              The data is available from http://www.ncdc.noaa.gov/oa/mpp/,
              item DS3505. The dataset covers about 10,000 locations. For most US
              and European airports, hourly wind speed data is available for a fee.
              An annual subscription service is also available from NCDC that pro-
              vides monthly downloadable wind speed data for about 1,000 US
              airports. Although this is valuable data, there are several significant
              issues with this dataset:


                    Wind speed data is available at only one height, 10 m above

                    the ground. Dataset includes, hourly average wind speed and
                    wind direction; it does not contain standard deviation.
                    The age, quality, height, precise location, and surrounding en-

                    vironment of the wind measurement instruments at each air-
                    port location are not known with certainty. Without this meta-
                    data pertaining to the instruments, the quality of raw data and
                    the roughness surrounding the instruments cannot be deter-
                    mined. Common problems include height of anemometer is
                    low; anemometer mast is surrounded by obstacles like build-
                    ings, trees, radar, and others; and roughness and contour are
                    different at the airport compared to site of interest. Therefore,
                    the uncertainty of calculations based on this dataset is high.

              The third source of wind data is the long-term reanalysis data. Ac-
                                  1
              cording to Kalnay, et al., “The National Centers for Environmental
              Prediction (NCEP) and National Center for Atmospheric Research
              (NCAR) have cooperated in a project (denoted “reanalysis”) to pro-
              duce a retroactive record of more than 50 years of global analyses of
              atmospheric fields in support of the needs of the research and climate-
              monitoringcommunities.Thiseffortinvolvedtherecoveryoflandsur-
              face, ship, rawinsonde, pibal, aircraft, satellite, and other data. These
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