% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33906 % Primary Name: SILVER SPRING % Record Type: TAVG % Country: United States % State: MD % Latitude: 39.00000 +/- 0.00005 % Longitude: -77.01670 +/- 0.00005 % Elevation (m): 81.99 +/- 0.15 % # of Months: 73 % % Alternate Names: Missing Station ID - 188300 % % IDs: coop - 188300 % ghcnd - USC00188300 % ncdc - 20009525 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a188fc7f83a20902ca7d03d6ee7ee8b9 % Raw Data Hash: c9936a1a236e5f8d60538b53bbe0cf54 % Adj Data Hash: d39fd0a180caeaadb0aa029025d59141 % % 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 1938 2 NaN NaN NaN NaN NaN NaN 2.944 2.143 1938 3 NaN NaN NaN NaN NaN NaN 8.100 2.299 1938 4 NaN NaN NaN NaN NaN NaN 12.775 0.987 1938 5 NaN NaN NaN NaN NaN NaN 16.273 -0.895 1938 6 NaN NaN NaN NaN NaN NaN 21.222 -0.595 1938 7 NaN NaN NaN NaN NaN NaN 24.588 0.284 1938 8 NaN NaN NaN NaN NaN NaN 24.752 1.190 1938 9 NaN NaN NaN NaN NaN NaN 18.842 -0.895 1938 10 NaN NaN NaN NaN NaN NaN 13.175 0.114 1938 11 NaN NaN NaN NaN NaN NaN 8.756 1.466 1938 12 NaN NaN NaN NaN NaN NaN 1.454 -0.156 1939 1 NaN NaN NaN NaN NaN NaN 0.813 1.281 1939 2 7.417 5.905 1 0 NaN NaN 3.181 2.380 1939 3 7.961 1.450 0 0 7.961 1.450 6.668 0.867 1939 4 11.402 -1.096 0 0 11.402 -1.096 10.667 -1.120 1939 5 18.894 1.016 0 0 18.894 1.016 18.245 1.078 1939 6 23.025 0.498 0 0 23.025 0.498 22.614 0.798 1939 7 23.306 -1.708 0 0 23.306 -1.708 23.290 -1.015 1939 8 24.816 0.544 0 0 24.816 0.544 24.767 1.206 1939 9 20.542 0.094 0 0 20.542 0.094 20.480 0.742 1939 10 14.095 0.324 0 0 14.095 0.324 13.117 0.055 1939 11 7.088 -0.912 0 0 7.088 -0.912 6.498 -0.792 1939 12 3.790 1.471 0 0 3.790 1.471 2.413 0.803 1940 1 -4.716 -4.958 0 0 -4.716 -4.958 -6.055 -5.586 1940 2 2.120 0.609 0 0 2.120 0.609 0.516 -0.285 1940 3 4.048 -2.463 0 0 4.048 -2.463 3.247 -2.554 1940 4 9.523 -2.975 0 0 9.523 -2.975 9.124 -2.664 1940 5 17.384 -0.494 0 0 17.384 -0.494 16.688 -0.480 1940 6 22.600 0.073 0 0 22.600 0.073 21.877 0.060 1940 7 24.048 -0.966 0 0 24.048 -0.966 24.002 -0.302 1940 8 22.016 -2.256 0 0 22.016 -2.256 21.843 -1.718 1940 9 18.325 -2.123 0 0 18.325 -2.123 18.177 -1.560 1940 10 12.115 -1.657 0 0 12.115 -1.657 11.274 -1.787 1940 11 7.948 -0.052 0 0 7.948 -0.052 7.556 0.265 1940 12 4.900 2.580 1 0 NaN NaN 3.736 2.126 1941 1 0.373 0.131 0 0 0.373 0.131 -0.821 -0.352 1941 2 0.104 -1.408 0 0 0.104 -1.408 -1.066 -1.867 1941 3 3.581 -2.931 0 0 3.581 -2.931 2.840 -2.961 1941 4 14.547 2.049 0 0 14.547 2.049 14.300 2.513 1941 5 18.421 0.543 0 0 18.421 0.543 17.805 0.637 1941 6 21.458 -1.069 0 0 21.458 -1.069 21.330 -0.487 1941 7 24.016 -0.998 0 0 24.016 -0.998 24.133 -0.171 1941 8 22.848 -1.423 0 0 22.848 -1.423 22.781 -0.780 1941 9 21.433 0.986 0 0 21.433 0.986 21.276 1.539 1941 10 16.752 2.980 0 0 16.752 2.980 16.046 2.985 1941 11 9.430 1.429 0 0 9.430 1.429 8.824 1.534 1941 12 4.577 2.258 1 0 NaN NaN 3.309 1.699 1942 1 0.985 0.744 0 0 0.985 0.744 -0.500 -0.031 1942 2 0.366 -1.145 0 0 0.366 -1.145 -0.894 -1.695 1942 3 7.711 1.200 0 0 7.711 1.200 7.057 1.256 1942 4 14.187 1.689 0 0 14.187 1.689 13.606 1.818 1942 5 19.427 1.549 0 0 19.427 1.549 18.849 1.681 1942 6 22.190 -0.337 0 0 22.190 -0.337 22.096 0.279 1942 7 24.539 -0.476 0 0 24.539 -0.476 24.398 0.094 1942 8 22.605 -1.667 0 0 22.605 -1.667 22.573 -0.989 1942 9 20.207 -0.241 0 0 20.207 -0.241 20.082 0.344 1942 10 14.276 0.504 0 0 14.276 0.504 13.831 0.769 1942 11 8.710 0.709 0 0 8.710 0.709 8.239 0.949 1942 12 0.569 -1.750 0 0 0.569 -1.750 -0.658 -2.267 1943 1 1.382 1.141 0 0 1.382 1.141 0.078 0.547 1943 2 3.064 1.553 0 0 3.064 1.553 1.448 0.647 1943 3 6.981 0.469 0 0 6.981 0.469 5.871 0.070 1943 4 10.093 -2.405 0 0 10.093 -2.405 9.447 -2.340 1943 5 18.585 0.708 0 0 18.585 0.708 18.073 0.906 1943 6 25.125 2.598 0 0 25.125 2.598 24.785 2.968 1943 7 24.697 -0.318 0 0 24.697 -0.318 24.349 0.045 1943 8 25.210 0.938 0 0 25.210 0.938 24.634 1.072 1943 9 18.890 -1.558 0 0 18.890 -1.558 18.869 -0.869 1943 10 12.921 -0.850 0 0 12.921 -0.850 11.993 -1.068 1943 11 7.275 -0.726 0 0 7.275 -0.726 6.688 -0.602 1943 12 2.008 -0.311 0 0 2.008 -0.311 0.666 -0.943 1944 1 2.305 2.063 0 0 2.305 2.063 0.837 1.306 1944 2 2.615 1.104 0 0 2.615 1.104 1.089 0.288 1944 3 5.168 -1.344 0 0 5.168 -1.344 4.384 -1.417 1944 4 11.310 -1.188 0 0 11.310 -1.188 10.602 -1.185 1944 5 20.883 3.005 0 0 20.883 3.005 20.213 3.046 1944 6 23.088 0.561 0 0 23.088 0.561 22.519 0.702 1944 7 25.288 0.274 0 0 25.288 0.274 24.775 0.471 1944 8 23.942 -0.330 0 0 23.942 -0.330 23.766 0.205 1944 9 20.696 0.249 1 0 NaN NaN 20.249 0.512 1944 10 13.341 -0.430 0 0 13.341 -0.430 12.149 -0.912 1944 11 8.068 0.068 0 0 8.068 0.068 7.477 0.187 1944 12 0.787 -1.532 0 0 0.787 -1.532 -0.826 -2.436 1945 1 -1.106 -1.348 0 0 -1.106 -1.348 -2.911 -2.443 1945 2 2.998 1.487 0 0 2.998 1.487 0.862 0.062 1945 3 NaN NaN NaN NaN NaN NaN 11.838 6.037 1945 4 NaN NaN NaN NaN NaN NaN 13.610 1.822 1945 5 NaN NaN NaN NaN NaN NaN 15.524 -1.644 1945 6 NaN NaN NaN NaN NaN NaN 21.763 -0.054 1945 7 NaN NaN NaN NaN NaN NaN 23.563 -0.742 1945 8 NaN NaN NaN NaN NaN NaN 22.547 -1.015 1945 9 NaN NaN NaN NaN NaN NaN 21.518 1.780 1945 10 NaN NaN NaN NaN NaN NaN 12.423 -0.638 1945 11 NaN NaN NaN NaN NaN NaN 8.464 1.174 1945 12 NaN NaN NaN NaN NaN NaN -1.542 -3.151 1946 1 NaN NaN NaN NaN NaN NaN 0.727 1.196 1946 2 NaN NaN NaN NaN NaN NaN 1.556 0.755