% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39649 % Primary Name: WARREN 2 SSW % Record Type: TAVG % Country: United States % State: NH % Latitude: 43.90071 +/- 0.00904 % Longitude: -71.89804 +/- 0.01029 % Elevation (m): 208.86 +/- 7.71 % # of Months: 44 % % Alternate Names: WARREN % % IDs: coop - 278885 % ghcnd - USC00278885 % ncdc - 20018681 % nws - WARN3 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: eaec5d39c03f152f0e02f45288fc94ca % Raw Data Hash: d7ad11d0a4521a65b65a00d9644188b1 % Adj Data Hash: e2d1caed6b95fa3826fa1e2e0da4f5ed % % 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 1941 8 NaN NaN NaN NaN NaN NaN 15.983 -1.659 1941 9 NaN NaN NaN NaN NaN NaN 13.531 0.313 1941 10 NaN NaN NaN NaN NaN NaN 6.332 -0.842 1941 11 NaN NaN NaN NaN NaN NaN 2.618 1.507 1941 12 NaN NaN NaN NaN NaN NaN -5.505 1.024 1942 1 NaN NaN NaN NaN NaN NaN -8.817 0.391 1942 2 NaN NaN NaN NaN NaN NaN -9.614 -1.411 1942 3 NaN NaN NaN NaN NaN NaN 0.380 2.854 1942 4 NaN NaN NaN NaN NaN NaN 5.451 1.266 1942 5 NaN NaN NaN NaN NaN NaN 13.326 2.191 1942 6 NaN NaN NaN NaN NaN NaN 16.482 0.107 1942 7 NaN NaN NaN NaN NaN NaN 18.421 -0.483 1942 8 18.421 0.072 0 0 18.421 0.072 17.644 0.002 1942 9 15.220 1.295 0 0 15.220 1.295 13.715 0.498 1942 10 9.429 1.548 0 0 9.429 1.548 8.136 0.962 1942 11 2.055 0.236 0 0 2.055 0.236 1.189 0.077 1942 12 NaN NaN NaN NaN NaN NaN -9.290 -2.761 1943 1 NaN NaN NaN NaN NaN NaN -10.875 -1.667 1943 2 NaN NaN NaN NaN NaN NaN -7.931 0.271 1943 3 -3.407 -1.641 0 0 -3.407 -1.641 -3.833 -1.359 1943 4 2.045 -2.848 0 0 2.045 -2.848 0.916 -3.269 1943 5 11.110 -0.733 0 0 11.110 -0.733 10.657 -0.478 1943 6 18.042 0.959 0 0 18.042 0.959 17.267 0.891 1943 7 NaN NaN NaN NaN NaN NaN 19.102 0.199 1943 8 18.481 0.131 0 0 18.481 0.131 16.890 -0.752 1943 9 14.063 0.138 0 0 14.063 0.138 12.205 -1.012 1943 10 8.819 0.937 0 0 8.819 0.937 7.525 0.351 1943 11 2.096 0.277 0 0 2.096 0.277 1.079 -0.032 1943 12 -8.245 -2.425 0 0 -8.245 -2.425 -10.260 -3.732 1944 1 -6.822 1.678 0 0 -6.822 1.678 -7.814 1.394 1944 2 -8.516 -1.021 0 0 -8.516 -1.021 -9.364 -1.162 1944 3 -2.821 -1.055 0 0 -2.821 -1.055 -4.550 -2.077 1944 4 3.172 -1.722 0 0 3.172 -1.722 1.899 -2.286 1944 5 14.069 2.227 0 0 14.069 2.227 13.601 2.466 1944 6 NaN NaN NaN NaN NaN NaN 16.000 -0.375 1944 7 19.795 0.184 0 0 19.795 0.184 19.211 0.307 1944 8 19.523 1.173 0 0 19.523 1.173 19.603 1.962 1944 9 15.150 1.225 0 0 15.150 1.225 13.967 0.750 1944 10 7.495 -0.387 0 0 7.495 -0.387 6.592 -0.582 1944 11 1.567 -0.252 0 0 1.567 -0.252 1.650 0.538 1944 12 -7.474 -1.654 0 0 -7.474 -1.654 -8.689 -2.160 1945 1 -10.918 -2.419 0 0 -10.918 -2.419 -11.936 -2.729 1945 2 -6.431 1.064 0 0 -6.431 1.064 -7.389 0.813 1945 3 3.197 4.963 0 0 3.197 4.963 2.469 4.943 1945 4 8.428 3.534 0 0 8.428 3.534 7.384 3.198 1945 5 9.902 -1.941 0 0 9.902 -1.941 9.211 -1.924 1945 6 16.160 -0.923 0 0 16.160 -0.923 15.682 -0.693 1945 7 18.976 -0.636 0 0 18.976 -0.636 18.812 -0.092 1945 8 17.739 -0.611 0 0 17.739 -0.611 17.792 0.151 1945 9 15.028 1.103 0 0 15.028 1.103 14.493 1.276 1945 10 6.824 -1.058 0 0 6.824 -1.058 6.018 -1.155 1945 11 1.764 -0.055 0 0 1.764 -0.055 1.837 0.726 1945 12 -8.865 -3.044 0 0 -8.865 -3.044 -8.970 -2.442 1946 1 -8.811 -0.311 0 0 -8.811 -0.311 -9.180 0.028 1946 2 -9.631 -2.137 1 0 NaN NaN -10.282 -2.079 1946 3 3.468 5.234 0 0 3.468 5.234 3.144 5.618 1946 4 4.245 -0.649 0 0 4.245 -0.649 3.461 -0.724 1946 5 10.381 -1.462 0 0 10.381 -1.462 10.370 -0.765 1946 6 15.505 -1.578 0 0 15.505 -1.578 15.844 -0.531 1946 7 17.332 -2.280 0 0 17.332 -2.280 18.224 -0.680 1946 8 15.781 -2.569 0 0 15.781 -2.569 16.029 -1.612 1946 9 NaN NaN NaN NaN NaN NaN 14.474 1.257 1946 10 NaN NaN NaN NaN NaN NaN 8.949 1.776 1946 11 NaN NaN NaN NaN NaN NaN 3.085 1.974 1946 12 NaN NaN NaN NaN NaN NaN -6.196 0.332 1947 1 NaN NaN NaN NaN NaN NaN -7.750 1.457 1947 2 NaN NaN NaN NaN NaN NaN -8.508 -0.306 1947 3 NaN NaN NaN NaN NaN NaN -2.368 0.105 1947 4 NaN NaN NaN NaN NaN NaN 2.818 -1.367 1947 5 NaN NaN NaN NaN NaN NaN 10.169 -0.966 1947 6 NaN NaN NaN NaN NaN NaN 15.060 -1.315 1947 7 NaN NaN NaN NaN NaN NaN 20.297 1.393 1947 8 NaN NaN NaN NaN NaN NaN 19.745 2.103