% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30483 % Primary Name: MARIANO LAKE % Record Type: TAVG % Country: United States % State: NM % Latitude: 35.60000 +/- 0.00500 % Longitude: -108.45000 +/- 0.00500 % Elevation (m): 2194.56 +/- 0.15 % # of Months: 36 % % Alternate Names: Missing Station ID - 295453 % % IDs: coop - 295453 % ghcnd - USC00295453 % ncdc - 12003637 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c9b691c0fd3607478cdadb3a1d2cf197 % Raw Data Hash: 2f15f5e708b1e9485af1b3ce931797e3 % Adj Data Hash: de52f597c861fc30867c528720b6308a % % 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 1933 12 NaN NaN NaN NaN NaN NaN 1.387 2.570 1934 1 NaN NaN NaN NaN NaN NaN 0.351 2.177 1934 2 NaN NaN NaN NaN NaN NaN 4.862 3.537 1934 3 NaN NaN NaN NaN NaN NaN 8.207 3.514 1934 4 NaN NaN NaN NaN NaN NaN 11.492 2.396 1934 5 NaN NaN NaN NaN NaN NaN 17.401 2.979 1934 6 NaN NaN NaN NaN NaN NaN 18.932 -1.119 1934 7 NaN NaN NaN NaN NaN NaN 24.857 1.442 1934 8 NaN NaN NaN NaN NaN NaN 22.753 0.769 1934 9 NaN NaN NaN NaN NaN NaN 17.546 -0.313 1934 10 NaN NaN NaN NaN NaN NaN 12.910 1.573 1934 11 NaN NaN NaN NaN NaN NaN 4.944 0.916 1934 12 0.158 3.628 1 0 NaN NaN -0.041 1.141 1935 1 -1.002 3.112 0 0 -1.002 3.112 0.154 1.979 1935 2 NaN NaN NaN NaN NaN NaN 2.240 0.914 1935 3 NaN NaN NaN NaN NaN NaN 3.638 -1.056 1935 4 7.793 0.986 0 0 7.793 0.986 9.061 -0.035 1935 5 9.934 -2.201 0 0 9.934 -2.201 12.069 -2.354 1935 6 17.515 -0.248 0 0 17.515 -0.248 20.289 0.237 1935 7 20.400 -0.726 0 0 20.400 -0.726 23.513 0.098 1935 8 18.784 -0.912 0 0 18.784 -0.912 22.123 0.139 1935 9 14.315 -1.256 0 0 14.315 -1.256 17.971 0.112 1935 10 9.095 0.046 0 0 9.095 0.046 11.633 0.295 1935 11 1.873 0.134 0 0 1.873 0.134 3.309 -0.719 1935 12 -2.244 1.227 0 0 -2.244 1.227 -0.742 0.440 1936 1 -3.834 0.280 0 0 -3.834 0.280 -1.273 0.552 1936 2 -0.612 0.351 0 0 -0.612 0.351 2.045 0.720 1936 3 3.115 0.709 0 0 3.115 0.709 4.890 0.196 1936 4 7.762 0.954 0 0 7.762 0.954 10.290 1.194 1936 5 11.897 -0.238 0 0 11.897 -0.238 15.428 1.005 1936 6 19.053 1.290 0 0 19.053 1.290 21.878 1.827 1936 7 19.591 -1.536 0 0 19.591 -1.536 23.595 0.180 1936 8 NaN NaN NaN NaN NaN NaN 22.174 0.190 1936 9 14.295 -1.276 0 0 14.295 -1.276 17.206 -0.653 1936 10 8.903 -0.146 0 0 8.903 -0.146 11.469 0.132 1936 11 2.812 1.072 0 0 2.812 1.072 3.957 -0.071 1936 12 -0.690 2.780 0 0 -0.690 2.780 -0.124 1.058 1937 1 -8.429 -4.316 0 0 -8.429 -4.316 -8.508 -6.683 1937 2 NaN NaN NaN NaN NaN NaN -0.525 -1.850 1937 3 2.650 0.245 0 0 2.650 0.245 3.850 -0.844 1937 4 7.395 0.588 0 0 7.395 0.588 9.114 0.018 1937 5 13.024 0.890 0 0 13.024 0.890 15.554 1.131 1937 6 16.977 -0.786 0 0 16.977 -0.786 19.519 -0.532 1937 7 20.229 -0.897 0 0 20.229 -0.897 23.010 -0.405 1937 8 20.190 0.495 0 0 20.190 0.495 22.946 0.962 1937 9 16.278 0.707 0 0 16.278 0.707 19.205 1.346 1937 10 11.280 2.231 1 0 NaN NaN 12.871 1.533 1937 11 2.811 1.071 1 0 NaN NaN 5.812 1.784 1937 12 0.477 3.948 1 0 NaN NaN 1.239 2.421 1938 1 -0.617 3.497 1 0 NaN NaN 0.181 2.006 1938 2 0.978 1.941 1 0 NaN NaN 1.933 0.608 1938 3 NaN NaN NaN NaN NaN NaN 4.347 -0.347 1938 4 6.781 -0.027 1 0 NaN NaN 9.538 0.442 1938 5 NaN NaN NaN NaN NaN NaN 13.876 -0.547 1938 6 NaN NaN NaN NaN NaN NaN 20.269 0.218 1938 7 NaN NaN NaN NaN NaN NaN 22.908 -0.507 1938 8 NaN NaN NaN NaN NaN NaN 22.363 0.379 1938 9 NaN NaN NaN NaN NaN NaN 18.462 0.603 1938 10 NaN NaN NaN NaN NaN NaN 12.110 0.772 1938 11 NaN NaN NaN NaN NaN NaN 1.091 -2.936 1938 12 NaN NaN NaN NaN NaN NaN 0.882 2.065 1939 1 NaN NaN NaN NaN NaN NaN -0.779 1.046 1939 2 NaN NaN NaN NaN NaN NaN -3.766 -5.092 1939 3 NaN NaN NaN NaN NaN NaN 5.061 0.368 1939 4 NaN NaN NaN NaN NaN NaN 10.917 1.821