% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22906 % Primary Name: ZARAGOZA/VALENZUELA SPAIN % Record Type: TAVG % Country: Spain % Latitude: 41.80000 +/- 0.05000 % Longitude: -1.10000 +/- 0.05000 % Elevation (m): 258.00 +/- 0.50 % # of Months: 78 % % Alternate Names: ZARAGOZA % % IDs: hadcru - 81590 % wmssc - 81590 % % Sources: Hadley Centre Data Release % World Monthly Surface Station Climatology % % Site Hash: ddcce8c3be680c2c0399dbe17143f4fa % Raw Data Hash: 9c04d5585afb2cf67b9bbad296d6a625 % Adj Data Hash: 9c04d5585afb2cf67b9bbad296d6a625 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1952 7 NaN NaN NaN NaN NaN NaN 20.477 -0.175 1952 8 NaN NaN NaN NaN NaN NaN 20.058 -0.326 1952 9 NaN NaN NaN NaN NaN NaN 14.786 -2.215 1952 10 NaN NaN NaN NaN NaN NaN 12.796 1.368 1952 11 NaN NaN NaN NaN NaN NaN 6.722 0.437 1952 12 NaN NaN NaN NaN NaN NaN 4.094 0.608 1953 1 NaN NaN NaN NaN NaN NaN 1.288 -1.718 1953 2 NaN NaN NaN NaN NaN NaN 2.398 -1.824 1953 3 NaN NaN NaN NaN NaN NaN 6.037 -0.569 1953 4 NaN NaN NaN NaN NaN NaN 9.151 0.411 1953 5 NaN NaN NaN NaN NaN NaN 15.625 2.648 1953 6 NaN NaN NaN NaN NaN NaN 15.146 -1.796 1953 7 22.900 -0.804 0 0 22.900 -0.804 20.383 -0.268 1953 8 24.500 1.065 0 0 24.500 1.065 21.504 1.120 1953 9 20.600 0.547 0 0 20.600 0.547 17.192 0.191 1953 10 14.500 0.021 0 0 14.500 0.021 10.888 -0.539 1953 11 8.900 -0.437 0 0 8.900 -0.437 6.937 0.652 1953 12 9.900 3.362 0 0 9.900 3.362 6.614 3.128 1954 1 3.400 -2.658 0 0 3.400 -2.658 1.154 -1.852 1954 2 5.700 -1.574 0 0 5.700 -1.574 2.737 -1.485 1954 3 10.000 0.343 0 0 10.000 0.343 6.684 0.078 1954 4 11.800 0.008 0 0 11.800 0.008 7.623 -1.117 1954 5 15.400 -0.629 0 0 15.400 -0.629 12.612 -0.365 1954 6 19.500 -0.494 0 0 19.500 -0.494 16.173 -0.770 1954 7 21.200 -2.504 0 0 21.200 -2.504 19.373 -1.279 1954 8 21.700 -1.735 0 0 21.700 -1.735 18.895 -1.489 1954 9 20.000 -0.053 0 0 20.000 -0.053 17.632 0.631 1954 10 15.700 1.221 0 0 15.700 1.221 12.921 1.494 1954 11 11.700 2.363 0 0 11.700 2.363 8.431 2.146 1954 12 6.300 -0.238 0 0 6.300 -0.238 4.180 0.694 1955 1 9.300 3.242 0 0 9.300 3.242 6.618 3.612 1955 2 7.300 0.026 0 0 7.300 0.026 4.437 0.215 1955 3 8.700 -0.957 0 0 8.700 -0.957 5.673 -0.933 1955 4 14.500 2.708 0 0 14.500 2.708 10.633 1.893 1955 5 18.100 2.071 0 0 18.100 2.071 15.109 2.132 1955 6 20.200 0.206 0 0 20.200 0.206 17.224 0.281 1955 7 24.600 0.896 0 0 24.600 0.896 21.398 0.746 1955 8 23.700 0.265 0 0 23.700 0.265 20.940 0.556 1955 9 19.400 -0.653 0 0 19.400 -0.653 16.895 -0.106 1955 10 14.300 -0.179 0 0 14.300 -0.179 11.286 -0.141 1955 11 8.300 -1.037 0 0 8.300 -1.037 5.980 -0.305 1955 12 7.900 1.362 0 0 7.900 1.362 5.675 2.189 1956 1 6.600 0.542 0 0 6.600 0.542 4.117 1.111 1956 2 1.500 -5.774 0 0 1.500 -5.774 -1.044 -5.266 1956 3 10.200 0.543 0 0 10.200 0.543 6.741 0.136 1956 4 11.600 -0.192 0 0 11.600 -0.192 7.706 -1.034 1956 5 16.600 0.571 0 0 16.600 0.571 12.982 0.005 1956 6 18.800 -1.194 0 0 18.800 -1.194 15.339 -1.603 1956 7 23.300 -0.404 0 0 23.300 -0.404 19.595 -1.057 1956 8 22.400 -1.035 0 0 22.400 -1.035 19.339 -1.044 1956 9 20.000 -0.053 0 0 20.000 -0.053 16.818 -0.183 1956 10 13.500 -0.979 0 0 13.500 -0.979 10.973 -0.454 1956 11 7.300 -2.037 0 0 7.300 -2.037 4.204 -2.081 1956 12 3.300 -3.238 0 0 3.300 -3.238 1.994 -1.492 1957 1 3.600 -2.458 0 0 3.600 -2.458 0.988 -2.018 1957 2 9.300 2.026 0 0 9.300 2.026 6.271 2.049 1957 3 13.100 3.443 0 0 13.100 3.443 9.763 3.157 1957 4 12.100 0.308 0 0 12.100 0.308 7.847 -0.892 1957 5 15.200 -0.829 0 0 15.200 -0.829 11.852 -1.125 1957 6 18.700 -1.294 0 0 18.700 -1.294 15.333 -1.609 1957 7 23.200 -0.504 0 0 23.200 -0.504 20.457 -0.195 1957 8 23.300 -0.135 0 0 23.300 -0.135 20.732 0.349 1957 9 20.200 0.147 0 0 20.200 0.147 17.647 0.646 1957 10 14.400 -0.079 0 0 14.400 -0.079 11.031 -0.397 1957 11 8.100 -1.237 0 0 8.100 -1.237 5.216 -1.069 1957 12 6.000 -0.538 0 0 6.000 -0.538 2.396 -1.090 1958 1 5.900 -0.158 0 0 5.900 -0.158 3.332 0.326 1958 2 8.700 1.426 0 0 8.700 1.426 5.929 1.707 1958 3 10.500 0.843 0 0 10.500 0.843 6.881 0.276 1958 4 11.800 0.008 0 0 11.800 0.008 7.461 -1.279 1958 5 18.800 2.771 0 0 18.800 2.771 14.924 1.947 1958 6 20.200 0.206 0 0 20.200 0.206 16.115 -0.828 1958 7 23.300 -0.404 0 0 23.300 -0.404 20.151 -0.501 1958 8 23.500 0.065 0 0 23.500 0.065 20.402 0.019 1958 9 23.000 2.947 0 0 23.000 2.947 19.972 2.971 1958 10 15.200 0.721 0 0 15.200 0.721 11.569 0.142 1958 11 9.400 0.063 0 0 9.400 0.063 6.042 -0.243 1958 12 8.500 1.962 0 0 8.500 1.962 5.610 2.124 1959 1 6.800 0.742 0 0 6.800 0.742 4.587 1.581 1959 2 6.800 -0.474 0 0 6.800 -0.474 4.089 -0.133 1959 3 10.900 1.243 0 0 10.900 1.243 7.756 1.151 1959 4 13.000 1.208 0 0 13.000 1.208 9.014 0.275 1959 5 15.500 -0.529 0 0 15.500 -0.529 12.429 -0.548 1959 6 20.700 0.706 0 0 20.700 0.706 17.045 0.102 1959 7 24.600 0.896 0 0 24.600 0.896 21.877 1.225 1959 8 23.600 0.165 0 0 23.600 0.165 20.043 -0.341 1959 9 19.500 -0.553 0 0 19.500 -0.553 16.605 -0.397 1959 10 14.700 0.221 0 0 14.700 0.221 11.611 0.184 1959 11 9.200 -0.137 0 0 9.200 -0.137 6.175 -0.110 1959 12 8.400 1.862 0 0 8.400 1.862 5.041 1.555 1960 1 NaN NaN NaN NaN NaN NaN 3.540 0.534 1960 2 NaN NaN NaN NaN NaN NaN 4.911 0.689 1960 3 NaN NaN NaN NaN NaN NaN 7.871 1.266 1960 4 NaN NaN NaN NaN NaN NaN 9.105 0.366 1960 5 NaN NaN NaN NaN NaN NaN 14.629 1.652 1960 6 NaN NaN NaN NaN NaN NaN 18.315 1.373 1960 7 NaN NaN NaN NaN NaN NaN 20.025 -0.627 1960 8 NaN NaN NaN NaN NaN NaN 19.799 -0.585 1960 9 NaN NaN NaN NaN NaN NaN 16.665 -0.336 1960 10 NaN NaN NaN NaN NaN NaN 9.566 -1.861 1960 11 NaN NaN NaN NaN NaN NaN 6.839 0.554 1960 12 NaN NaN NaN NaN NaN NaN 2.509 -0.977