% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 167601 % Primary Name: OTTUMWA NAS % Record Type: TAVG % Country: United States % State: IA % Latitude: 41.10000 +/- 0.00005 % Longitude: -92.43330 +/- 0.00005 % Elevation (m): 257.90 +/- 0.05 % # of Months: 31 % % IDs: ghcnd - USW00014948 % gsod - 999999-14948 % ncdc - 20006708 % wban - 14948 % % Sources: US First Order Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % Multi-network Metadata System % % Site Hash: a981871494baa2f193bfbba3540f43b3 % Raw Data Hash: ffb14f67ceb0c193482499e385b52c07 % Adj Data Hash: 81adc0578e069827c49c74254c3268dc % % 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 1944 2 NaN NaN NaN NaN NaN NaN -1.605 1.206 1944 3 NaN NaN NaN NaN NaN NaN 0.549 -2.406 1944 4 NaN NaN NaN NaN NaN NaN 8.580 -2.302 1944 5 NaN NaN NaN NaN NaN NaN 18.959 1.947 1944 6 NaN NaN NaN NaN NaN NaN 23.397 1.333 1944 7 NaN NaN NaN NaN NaN NaN 23.542 -0.818 1944 8 NaN NaN NaN NaN NaN NaN 22.976 -0.182 1944 9 NaN NaN NaN NaN NaN NaN 19.046 0.307 1944 10 NaN NaN NaN NaN NaN NaN 13.184 0.753 1944 11 NaN NaN NaN NaN NaN NaN 6.394 1.948 1944 12 NaN NaN NaN NaN NaN NaN -5.388 -2.963 1945 1 NaN NaN NaN NaN NaN NaN -7.587 -1.503 1945 2 -2.442 0.046 0 0 -2.442 0.046 -2.031 0.781 1945 3 8.990 5.712 0 0 8.990 5.712 8.699 5.744 1945 4 10.363 -0.842 0 0 10.363 -0.842 11.135 0.253 1945 5 14.553 -2.781 0 0 14.553 -2.781 13.639 -3.372 1945 6 18.733 -3.654 0 0 18.733 -3.654 19.226 -2.838 1945 7 23.395 -1.289 0 0 23.395 -1.289 22.868 -1.493 1945 8 23.110 -0.372 0 0 23.110 -0.372 23.176 0.017 1945 9 17.976 -1.086 0 0 17.976 -1.086 18.112 -0.627 1945 10 11.701 -1.053 0 0 11.701 -1.053 11.893 -0.538 1945 11 3.844 -0.925 0 0 3.844 -0.925 4.309 -0.137 1945 12 -6.979 -4.877 0 0 -6.979 -4.877 -6.258 -3.833 1946 1 -3.022 2.739 0 0 -3.022 2.739 -3.836 2.248 1946 2 0.677 3.165 0 0 0.677 3.165 -0.268 2.544 1946 3 10.556 7.277 0 0 10.556 7.277 9.412 6.457 1946 4 14.837 3.632 0 0 14.837 3.632 12.929 2.047 1946 5 15.832 -1.503 0 0 15.832 -1.503 14.535 -2.476 1946 6 22.477 0.089 0 0 22.477 0.089 21.834 -0.230 1946 7 26.554 1.870 0 0 26.554 1.870 24.075 -0.286 1946 8 20.700 -2.782 0 0 20.700 -2.782 20.645 -2.514 1946 9 20.635 1.574 0 0 20.635 1.574 18.427 -0.311 1946 10 14.761 2.007 0 0 14.761 2.007 15.063 2.633 1946 11 4.883 0.114 0 0 4.883 0.114 5.551 1.105 1946 12 0.139 2.241 0 0 0.139 2.241 0.714 3.139 1947 1 -2.516 3.245 0 0 -2.516 3.245 -3.002 3.083 1947 2 -6.236 -3.748 0 0 -6.236 -3.748 -6.115 -3.304 1947 3 1.122 -2.157 0 0 1.122 -2.157 -0.048 -3.003 1947 4 9.518 -1.687 0 0 9.518 -1.687 10.156 -0.726 1947 5 14.037 -3.297 0 0 14.037 -3.297 13.986 -3.025 1947 6 20.200 -2.187 0 0 20.200 -2.187 20.196 -1.868 1947 7 23.868 -0.816 1 0 NaN NaN 22.919 -1.441 1947 8 30.396 6.914 1 0 NaN NaN 27.743 4.584 1947 9 NaN NaN NaN NaN NaN NaN 20.587 1.849 1947 10 NaN NaN NaN NaN NaN NaN 17.363 4.932 1947 11 NaN NaN NaN NaN NaN NaN 1.919 -2.527 1947 12 NaN NaN NaN NaN NaN NaN -0.471 1.954 1948 1 NaN NaN NaN NaN NaN NaN -7.788 -1.704 1948 2 NaN NaN NaN NaN NaN NaN -3.371 -0.560 1948 3 NaN NaN NaN NaN NaN NaN 1.982 -0.973 1948 4 NaN NaN NaN NaN NaN NaN 13.699 2.817 1948 5 NaN NaN NaN NaN NaN NaN 15.730 -1.281 1948 6 NaN NaN NaN NaN NaN NaN 21.367 -0.697 1948 7 NaN NaN NaN NaN NaN NaN 24.176 -0.184 1948 8 NaN NaN NaN NaN NaN NaN 23.614 0.455