% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40407 % Primary Name: LANDMARK % Record Type: TAVG % Country: United States % State: ID % Latitude: 44.66670 +/- 0.00005 % Longitude: -115.55000 +/- 0.00005 % Elevation (m): 2011.68 +/- 0.15 % # of Months: 33 % % Alternate Names: Missing Station ID - 105108 % % IDs: coop - 105108 % ghcnd - USC00105108 % ncdc - 12001604 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 8199726530e5189713d8ae81f9fdd2a8 % Raw Data Hash: 48bbd48aaf865e20f24f5f0ff3fe0730 % Adj Data Hash: cd9c727e1d0d957216acb327263582be % % 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 1942 2 NaN NaN NaN NaN NaN NaN -3.666 -1.862 1942 3 NaN NaN NaN NaN NaN NaN -0.407 -1.613 1942 4 NaN NaN NaN NaN NaN NaN 6.783 1.103 1942 5 NaN NaN NaN NaN NaN NaN 9.085 -1.660 1942 6 NaN NaN NaN NaN NaN NaN 12.188 -2.862 1942 7 NaN NaN NaN NaN NaN NaN 20.158 0.730 1942 8 NaN NaN NaN NaN NaN NaN 18.470 0.184 1942 9 NaN NaN NaN NaN NaN NaN 13.649 0.080 1942 10 NaN NaN NaN NaN NaN NaN 8.379 1.079 1942 11 NaN NaN NaN NaN NaN NaN 0.452 -0.084 1942 12 NaN NaN NaN NaN NaN NaN -2.748 1.188 1943 1 NaN NaN NaN NaN NaN NaN -5.846 -0.774 1943 2 -5.913 1.713 0 0 -5.913 1.713 -1.524 0.280 1943 3 -5.981 -1.366 0 0 -5.981 -1.366 -1.015 -2.221 1943 4 3.303 3.445 0 0 3.303 3.445 8.084 2.404 1943 5 3.902 -1.021 0 0 3.902 -1.021 9.217 -1.527 1943 6 NaN NaN NaN NaN NaN NaN 12.232 -2.817 1943 7 12.530 -1.076 0 0 12.530 -1.076 19.070 -0.357 1943 8 10.884 -1.580 0 0 10.884 -1.580 17.346 -0.940 1943 9 11.293 3.546 1 0 NaN NaN 15.089 1.521 1943 10 6.492 5.013 1 0 NaN NaN 8.468 1.168 1943 11 -2.820 2.465 0 0 -2.820 2.465 1.043 0.506 1943 12 -8.434 1.323 0 0 -8.434 1.323 -3.044 0.892 1944 1 -11.780 -0.886 1 0 NaN NaN -7.325 -2.253 1944 2 NaN NaN NaN NaN NaN NaN -1.192 0.612 1944 3 -7.258 -2.643 0 0 -7.258 -2.643 -0.964 -2.170 1944 4 0.635 0.776 0 0 0.635 0.776 5.460 -0.220 1944 5 5.447 0.524 0 0 5.447 0.524 11.276 0.532 1944 6 8.353 -0.875 0 0 8.353 -0.875 12.394 -2.656 1944 7 11.328 -2.278 0 0 11.328 -2.278 18.496 -0.932 1944 8 9.694 -2.771 0 0 9.694 -2.771 17.086 -1.199 1944 9 8.022 0.275 0 0 8.022 0.275 13.807 0.238 1944 10 4.770 3.292 0 0 4.770 3.292 10.484 3.184 1944 11 NaN NaN NaN NaN NaN NaN 0.333 -0.203 1944 12 NaN NaN NaN NaN NaN NaN -4.338 -0.403 1945 1 NaN NaN NaN NaN NaN NaN -3.303 1.769 1945 2 NaN NaN NaN NaN NaN NaN 0.365 2.169 1945 3 NaN NaN NaN NaN NaN NaN 0.492 -0.715 1945 4 NaN NaN NaN NaN NaN NaN 4.288 -1.392 1945 5 NaN NaN NaN NaN NaN NaN 10.665 -0.079 1945 6 NaN NaN NaN NaN NaN NaN 12.391 -2.659 1945 7 12.090 -1.516 0 0 12.090 -1.516 19.561 0.133 1945 8 12.187 -0.277 0 0 12.187 -0.277 18.262 -0.024 1945 9 5.601 -2.146 1 0 NaN NaN 11.702 -1.867 1945 10 4.905 3.426 1 0 NaN NaN 9.187 1.887 1945 11 NaN NaN NaN NaN NaN NaN 0.118 -0.419 1945 12 NaN NaN NaN NaN NaN NaN -4.614 -0.679 1946 1 NaN NaN NaN NaN NaN NaN -5.618 -0.546 1946 2 NaN NaN NaN NaN NaN NaN -2.799 -0.995 1946 3 NaN NaN NaN NaN NaN NaN 1.584 0.378 1946 4 NaN NaN NaN NaN NaN NaN 6.896 1.216 1946 5 NaN NaN NaN NaN NaN NaN 11.012 0.267 1946 6 8.502 -0.726 0 0 8.502 -0.726 14.012 -1.037 1946 7 13.245 -0.361 0 0 13.245 -0.361 20.131 0.704 1946 8 11.934 -0.530 0 0 11.934 -0.530 18.501 0.216 1946 9 6.442 -1.305 0 0 6.442 -1.305 12.202 -1.367 1946 10 -0.595 -2.074 0 0 -0.595 -2.074 4.685 -2.614 1946 11 NaN NaN NaN NaN NaN NaN -0.077 -0.614 1946 12 NaN NaN NaN NaN NaN NaN -1.136 2.800 1947 1 NaN NaN NaN NaN NaN NaN -7.288 -2.216 1947 2 NaN NaN NaN NaN NaN NaN 0.603 2.407 1947 3 NaN NaN NaN NaN NaN NaN 3.163 1.957 1947 4 NaN NaN NaN NaN NaN NaN 6.028 0.348 1947 5 NaN NaN NaN NaN NaN NaN 13.356 2.612 1947 6 6.178 -3.050 0 0 6.178 -3.050 12.359 -2.691 1947 7 12.927 -0.679 0 0 12.927 -0.679 20.124 0.697 1947 8 10.945 -1.519 0 0 10.945 -1.519 17.896 -0.390 1947 9 7.620 -0.127 0 0 7.620 -0.127 13.228 -0.340 1947 10 4.645 3.167 0 0 4.645 3.167 9.404 2.104 1947 11 NaN NaN NaN NaN NaN NaN -0.838 -1.375 1947 12 NaN NaN NaN NaN NaN NaN -3.051 0.885 1948 1 NaN NaN NaN NaN NaN NaN -3.850 1.222 1948 2 NaN NaN NaN NaN NaN NaN -1.553 0.250 1948 3 NaN NaN NaN NaN NaN NaN -1.035 -2.242 1948 4 NaN NaN NaN NaN NaN NaN 4.534 -1.146 1948 5 NaN NaN NaN NaN NaN NaN 10.403 -0.342 1948 6 NaN NaN NaN NaN NaN NaN 15.615 0.566 1948 7 NaN NaN NaN NaN NaN NaN 17.922 -1.505 1948 8 NaN NaN NaN NaN NaN NaN 17.016 -1.270 1948 9 NaN NaN NaN NaN NaN NaN 12.973 -0.596 1948 10 NaN NaN NaN NaN NaN NaN 7.953 0.653