% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 174761 % Primary Name: VETLANDA % Record Type: TAVG % Country: Sweden % Latitude: 57.42000 +/- 0.00500 % Longitude: 15.07000 +/- 0.00500 % Elevation (m): 200.00 +/- 0.50 % # of Months: 24 % % IDs: ghcnd - SWE00135517 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 45bf1c3dc5d5013318c82bf9ccf3cdbb % Raw Data Hash: dc4ef872e65840444d42b4285724ed1e % Adj Data Hash: af40e83fd95b90e99b651bd57dc83e44 % % 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 1962 2 NaN NaN NaN NaN NaN NaN -1.428 1.408 1962 3 NaN NaN NaN NaN NaN NaN -3.112 -3.114 1962 4 NaN NaN NaN NaN NaN NaN 5.240 0.953 1962 5 NaN NaN NaN NaN NaN NaN 8.190 -1.505 1962 6 NaN NaN NaN NaN NaN NaN 13.742 -1.153 1962 7 NaN NaN NaN NaN NaN NaN 14.173 -2.329 1962 8 NaN NaN NaN NaN NaN NaN 13.636 -2.135 1962 9 NaN NaN NaN NaN NaN NaN 10.482 -1.466 1962 10 NaN NaN NaN NaN NaN NaN 8.011 0.794 1962 11 NaN NaN NaN NaN NaN NaN 2.668 0.142 1962 12 NaN NaN NaN NaN NaN NaN -3.177 -2.174 1963 1 NaN NaN NaN NaN NaN NaN -8.200 -5.445 1963 2 -6.262 -2.490 0 0 -6.262 -2.490 -6.678 -3.842 1963 3 -2.777 -1.842 1 0 NaN NaN -2.703 -2.704 1963 4 4.400 1.050 1 0 NaN NaN 3.790 -0.496 1963 5 11.774 3.016 1 0 NaN NaN 10.861 1.166 1963 6 15.217 1.258 1 0 NaN NaN 15.182 0.287 1963 7 NaN NaN NaN NaN NaN NaN 16.227 -0.275 1963 8 NaN NaN NaN NaN NaN NaN 15.855 0.083 1963 9 NaN NaN NaN NaN NaN NaN 12.450 0.502 1963 10 6.594 0.313 0 0 6.594 0.313 7.519 0.302 1963 11 2.618 1.029 0 0 2.618 1.029 4.340 1.814 1963 12 -3.624 -1.685 0 0 -3.624 -1.685 -2.257 -1.254 1964 1 -2.163 1.528 0 0 -2.163 1.528 -1.476 1.279 1964 2 -4.348 -0.576 1 0 NaN NaN -3.802 -0.966 1964 3 -1.892 -0.957 0 0 -1.892 -0.957 -1.475 -1.476 1964 4 NaN NaN NaN NaN NaN NaN 5.650 1.364 1964 5 10.605 1.847 0 0 10.605 1.847 11.241 1.546 1964 6 14.288 0.329 0 0 14.288 0.329 15.674 0.778 1964 7 NaN NaN NaN NaN NaN NaN 15.700 -0.802 1964 8 NaN NaN NaN NaN NaN NaN 14.959 -0.813 1964 9 10.025 -0.987 0 0 10.025 -0.987 11.321 -0.627 1964 10 NaN NaN NaN NaN NaN NaN 7.068 -0.149 1964 11 1.767 0.178 0 0 1.767 0.178 3.268 0.743 1964 12 -1.858 0.081 0 0 -1.858 0.081 -0.577 0.426 1965 1 -2.103 1.588 0 0 -2.103 1.588 -0.923 1.832 1965 2 -4.386 -0.613 0 0 -4.386 -0.613 -4.024 -1.189 1965 3 -1.929 -0.994 0 0 -1.929 -0.994 -0.832 -0.834 1965 4 4.627 1.277 0 0 4.627 1.277 4.719 0.433 1965 5 7.531 -1.228 0 0 7.531 -1.228 7.487 -2.208 1965 6 NaN NaN NaN NaN NaN NaN 14.971 0.076 1965 7 12.619 -2.946 1 0 NaN NaN 13.675 -2.827 1965 8 NaN NaN NaN NaN NaN NaN 14.218 -1.553 1965 9 NaN NaN NaN NaN NaN NaN 12.461 0.513 1965 10 NaN NaN NaN NaN NaN NaN 8.170 0.952 1965 11 -3.012 -4.601 1 0 NaN NaN -0.878 -3.404 1965 12 -5.318 -3.379 0 0 -5.318 -3.379 -2.887 -1.885 1966 1 NaN NaN NaN NaN NaN NaN -5.376 -2.621 1966 2 NaN NaN NaN NaN NaN NaN -6.813 -3.978 1966 3 NaN NaN NaN NaN NaN NaN 0.572 0.571 1966 4 NaN NaN NaN NaN NaN NaN 1.574 -2.712 1966 5 NaN NaN NaN NaN NaN NaN 10.227 0.532 1966 6 NaN NaN NaN NaN NaN NaN 16.564 1.669 1966 7 NaN NaN NaN NaN NaN NaN 16.236 -0.266 1966 8 NaN NaN NaN NaN NaN NaN 14.357 -1.415 1966 9 NaN NaN NaN NaN NaN NaN 11.244 -0.704 1966 10 NaN NaN NaN NaN NaN NaN 7.546 0.329 1966 11 NaN NaN NaN NaN NaN NaN 2.842 0.316 1966 12 NaN NaN NaN NaN NaN NaN -0.554 0.448