% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33852 % Primary Name: BROOKSIDE MANOR % Record Type: TAVG % Country: United States % State: MD % Latitude: 38.96670 +/- 0.00005 % Longitude: -76.96670 +/- 0.00005 % Elevation (m): 14.90 +/- 0.05 % # of Months: 68 % % IDs: coop - 181180 % ghcnd - USC00181180 % ncdc - 20009506 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7909b5e8e020c74eff187961d6db9e50 % Raw Data Hash: 8cbca87c8ae7b3a5e456aaa9c3668d6d % Adj Data Hash: 472822d6bb67bf0e8486cb58278b9350 % % 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 11 NaN NaN NaN NaN NaN NaN 7.477 0.187 1944 12 NaN NaN NaN NaN NaN NaN -0.826 -2.436 1945 1 NaN NaN NaN NaN NaN NaN -2.911 -2.443 1945 2 NaN NaN NaN NaN NaN NaN 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 2.833 -5.245 0 0 3.224 -4.854 8.464 1.174 1945 12 -1.500 -3.897 0 0 -1.109 -3.506 -1.542 -3.151 1946 1 1.722 1.403 0 0 2.113 1.794 0.727 1.196 1946 2 2.889 1.300 0 0 3.280 1.691 1.556 0.755 1946 3 10.556 3.967 0 0 10.947 4.358 10.330 4.528 1946 4 12.333 -0.242 0 0 12.724 0.149 11.797 0.010 1946 5 18.000 0.045 0 0 18.391 0.436 17.012 -0.156 1946 6 21.389 -1.216 0 0 21.780 -0.825 20.774 -1.043 1946 7 23.167 -1.925 0 0 23.558 -1.534 23.409 -0.895 1946 8 NaN NaN NaN NaN NaN NaN 21.120 -2.442 1946 9 NaN NaN NaN NaN NaN NaN 20.110 0.373 1946 10 14.889 1.040 0 0 15.280 1.431 14.623 1.562 1946 11 9.667 1.588 0 0 10.058 1.979 9.847 2.556 1946 12 4.111 1.714 0 0 4.502 2.105 3.173 1.564 1947 1 NaN NaN NaN NaN NaN NaN 3.307 3.776 1947 2 NaN NaN NaN NaN NaN NaN -2.187 -2.988 1947 3 NaN NaN NaN NaN NaN NaN 2.843 -2.959 1947 4 13.778 1.202 0 0 14.169 1.593 12.738 0.951 1947 5 17.444 -0.511 0 0 17.835 -0.120 16.767 -0.400 1947 6 21.333 -1.271 0 0 21.724 -0.880 20.677 -1.140 1947 7 NaN NaN NaN NaN NaN NaN 22.897 -1.407 1947 8 NaN NaN NaN NaN NaN NaN 24.612 1.051 1947 9 NaN NaN NaN NaN NaN NaN 20.080 0.343 1947 10 NaN NaN NaN NaN NaN NaN 16.109 3.048 1947 11 NaN NaN NaN NaN NaN NaN 6.407 -0.884 1947 12 NaN NaN NaN NaN NaN NaN 0.338 -1.271 1948 1 NaN NaN NaN NaN NaN NaN -3.740 -3.271 1948 2 NaN NaN NaN NaN NaN NaN 0.183 -0.618 1948 3 NaN NaN NaN NaN NaN NaN 7.721 1.920 1948 4 NaN NaN NaN NaN NaN NaN 12.380 0.592 1948 5 NaN NaN NaN NaN NaN NaN 16.813 -0.354 1948 6 NaN NaN NaN NaN NaN NaN 21.736 -0.081 1948 7 NaN NaN NaN NaN NaN NaN 24.164 -0.140 1948 8 23.111 -1.238 0 2 22.994 -1.356 22.928 -0.633 1948 9 19.500 -1.025 0 0 19.383 -1.142 19.526 -0.212 1948 10 12.790 -1.059 0 0 12.673 -1.176 11.778 -1.284 1948 11 10.278 2.199 0 0 10.160 2.082 10.170 2.880 1948 12 3.167 0.770 0 0 3.049 0.652 2.373 0.763 1949 1 5.500 5.181 0 0 5.383 5.064 4.072 4.541 1949 2 5.722 4.133 0 0 5.605 4.016 4.290 3.489 1949 3 7.833 1.244 0 0 7.716 1.127 6.866 1.065 1949 4 12.111 -0.464 0 0 11.994 -0.582 11.450 -0.338 1949 5 18.333 0.378 0 0 18.216 0.261 17.200 0.033 1949 6 22.611 0.006 0 0 22.494 -0.111 22.412 0.595 1949 7 26.611 1.519 0 0 26.494 1.402 25.909 1.605 1949 8 24.278 -0.072 0 0 24.160 -0.189 23.806 0.244 1949 9 18.667 -1.858 0 0 18.549 -1.976 18.065 -1.672 1949 10 16.444 2.595 0 0 16.327 2.478 15.641 2.580 1949 11 7.778 -0.301 0 0 7.660 -0.418 7.590 0.300 1949 12 4.111 1.714 0 0 3.994 1.597 2.843 1.234 1950 1 8.389 8.070 0 0 8.272 7.953 6.260 6.729 1950 2 2.778 1.189 0 0 2.660 1.072 1.181 0.380 1950 3 5.111 -1.478 0 0 4.994 -1.595 3.989 -1.812 1950 4 11.000 -1.576 0 0 10.883 -1.693 10.064 -1.723 1950 5 17.500 -0.455 0 0 17.383 -0.573 16.548 -0.620 1950 6 22.900 0.295 1 0 NaN NaN 21.280 -0.537 1950 7 23.778 -1.314 0 0 23.660 -1.431 22.990 -1.315 1950 8 24.105 -0.245 1 0 NaN NaN 22.717 -0.844 1950 9 18.944 -1.581 0 0 18.827 -1.698 18.140 -1.597 1950 10 15.167 1.318 0 0 15.049 1.200 13.906 0.845 1950 11 8.167 0.088 0 0 8.049 -0.029 7.673 0.383 1950 12 1.611 -0.786 0 0 1.494 -0.903 -0.468 -2.077 1951 1 3.056 2.736 0 0 2.938 2.619 1.466 1.935 1951 2 3.278 1.689 0 0 3.160 1.572 1.331 0.530 1951 3 7.056 0.467 0 0 6.938 0.349 5.951 0.150 1951 4 NaN NaN NaN NaN NaN NaN 11.712 -0.076 1951 5 17.778 -0.178 0 0 17.660 -0.295 16.799 -0.369 1951 6 21.611 -0.994 0 0 21.494 -1.111 21.479 -0.337 1951 7 25.389 0.297 0 0 25.272 0.180 24.400 0.096 1951 8 23.500 -0.849 0 0 23.383 -0.967 23.148 -0.413 1951 9 20.611 0.086 0 0 20.494 -0.031 20.000 0.263 1951 10 15.778 1.929 0 0 15.660 1.811 14.579 1.518 1951 11 5.833 -2.245 0 0 5.716 -2.362 5.272 -2.018 1951 12 4.000 1.603 0 0 3.883 1.486 2.246 0.637 1952 1 4.167 3.848 0 0 4.049 3.730 2.520 2.988 1952 2 4.222 2.633 0 0 4.105 2.516 2.541 1.740 1952 3 6.167 -0.422 0 0 6.049 -0.540 5.014 -0.787 1952 4 NaN NaN NaN NaN NaN NaN 12.679 0.891 1952 5 NaN NaN NaN NaN NaN NaN 16.176 -0.992 1952 6 24.056 1.451 0 0 23.938 1.334 23.209 1.392 1952 7 NaN NaN NaN NaN NaN NaN 25.369 1.064 1952 8 24.056 -0.294 0 0 23.938 -0.411 23.292 -0.270 1952 9 20.000 -0.525 0 0 19.883 -0.642 19.447 -0.290 1952 10 12.444 -1.405 0 0 12.327 -1.522 11.189 -1.872 1952 11 8.667 0.588 0 0 8.549 0.471 8.105 0.814 1952 12 2.556 0.158 1 0 NaN NaN 1.969 0.360 1953 1 4.778 4.459 0 0 4.660 4.341 2.865 3.334 1953 2 5.222 3.633 0 0 5.105 3.516 3.494 2.693 1953 3 7.944 1.355 0 0 7.827 1.238 7.009 1.208 1953 4 12.500 -0.076 0 0 12.383 -0.193 11.891 0.104 1953 5 NaN NaN NaN NaN NaN NaN 19.238 2.071 1953 6 NaN NaN NaN NaN NaN NaN 22.052 0.236 1953 7 NaN NaN NaN NaN NaN NaN 24.918 0.614 1953 8 NaN NaN NaN NaN NaN NaN 23.374 -0.188 1953 9 NaN NaN NaN NaN NaN NaN 19.942 0.205 1953 10 NaN NaN NaN NaN NaN NaN 14.061 1.000 1953 11 NaN NaN NaN NaN NaN NaN 7.807 0.516 1953 12 NaN NaN NaN NaN NaN NaN 3.044 1.435 1954 1 NaN NaN NaN NaN NaN NaN -0.095 0.374 1954 2 NaN NaN NaN NaN NaN NaN 4.040 3.239 1954 3 NaN NaN NaN NaN NaN NaN 5.869 0.068 1954 4 NaN NaN NaN NaN NaN NaN 14.208 2.420