% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28287 % Primary Name: GILA 6 NNE % Record Type: TAVG % Country: United States % State: NM % Latitude: 33.03330 +/- 0.00005 % Longitude: -108.53330 +/- 0.00005 % Elevation (m): 1417.90 +/- 0.05 % # of Months: 62 % % IDs: coop - 293528 % ghcnd - USC00293528 % ncdc - 20020360 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: f07f0370f9e73f690afd8cbf97847115 % Raw Data Hash: b19510f2f12027fb48e551a4da2c37a1 % Adj Data Hash: 32ced321fa87fdc4d0f318eb7541da76 % % 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 1953 10 NaN NaN NaN NaN NaN NaN 13.114 0.011 1953 11 NaN NaN NaN NaN NaN NaN 8.091 1.114 1953 12 NaN NaN NaN NaN NaN NaN 0.938 -2.202 1954 1 NaN NaN NaN NaN NaN NaN 4.227 1.294 1954 2 NaN NaN NaN NaN NaN NaN 6.871 2.199 1954 3 NaN NaN NaN NaN NaN NaN 6.907 -0.480 1954 4 NaN NaN NaN NaN NaN NaN 14.189 2.869 1954 5 NaN NaN NaN NaN NaN NaN 16.378 0.509 1954 6 NaN NaN NaN NaN NaN NaN 21.151 0.024 1954 7 NaN NaN NaN NaN NaN NaN 23.701 0.497 1954 8 NaN NaN NaN NaN NaN NaN 20.987 -0.870 1954 9 NaN NaN NaN NaN NaN NaN 20.421 1.622 1954 10 16.056 1.488 0 0 16.056 1.488 15.127 2.024 1954 11 10.222 1.781 0 0 10.222 1.781 8.644 1.668 1954 12 5.000 0.395 0 0 5.000 0.395 3.781 0.641 1955 1 3.278 -1.120 0 0 3.278 -1.120 1.722 -1.211 1955 2 3.778 -2.359 0 0 3.778 -2.359 1.986 -2.686 1955 3 9.389 0.537 0 0 9.389 0.537 7.244 -0.143 1955 4 12.500 -0.284 0 0 12.500 -0.284 10.883 -0.437 1955 5 17.111 -0.223 0 0 17.111 -0.223 14.815 -1.055 1955 6 21.611 -0.981 0 0 21.611 -0.981 20.334 -0.793 1955 7 24.056 -0.614 0 0 24.056 -0.614 22.045 -1.160 1955 8 23.611 0.290 0 0 23.611 0.290 21.473 -0.384 1955 9 20.778 0.513 0 0 20.778 0.513 19.546 0.746 1955 10 15.389 0.822 0 0 15.389 0.822 14.554 1.452 1955 11 7.611 -0.830 0 0 7.611 -0.830 7.555 0.578 1955 12 5.611 1.006 0 0 5.611 1.006 5.400 2.260 1956 1 6.111 1.713 0 0 6.111 1.713 5.477 2.544 1956 2 3.389 -2.748 0 0 3.389 -2.748 1.939 -2.732 1956 3 9.944 1.092 0 0 9.944 1.092 7.825 0.437 1956 4 12.500 -0.284 0 0 12.500 -0.284 10.531 -0.789 1956 5 18.222 0.888 0 0 18.222 0.888 16.771 0.902 1956 6 23.611 1.019 0 0 23.611 1.019 23.058 1.931 1956 7 24.222 -0.447 0 0 24.222 -0.447 22.558 -0.646 1956 8 23.389 0.067 0 0 23.389 0.067 20.844 -1.013 1956 9 21.833 1.569 0 0 21.833 1.569 20.353 1.554 1956 10 15.889 1.322 0 0 15.889 1.322 13.910 0.808 1956 11 6.111 -2.330 0 0 6.111 -2.330 4.866 -2.110 1956 12 4.111 -0.494 0 0 4.111 -0.494 2.874 -0.267 1957 1 6.500 2.102 0 0 6.500 2.102 5.394 2.461 1957 2 10.944 4.808 0 0 10.944 4.808 9.241 4.569 1957 3 10.333 1.481 0 0 10.333 1.481 7.711 0.323 1957 4 12.111 -0.673 0 0 12.111 -0.673 10.859 -0.460 1957 5 14.222 -3.112 0 0 14.222 -3.112 13.744 -2.125 1957 6 22.389 -0.203 0 0 22.389 -0.203 21.604 0.477 1957 7 25.889 1.220 0 0 25.889 1.220 23.833 0.628 1957 8 23.056 -0.266 0 0 23.056 -0.266 21.001 -0.855 1957 9 19.167 -1.098 0 0 19.167 -1.098 18.275 -0.525 1957 10 13.833 -0.734 0 0 13.833 -0.734 12.267 -0.835 1957 11 6.667 -1.775 0 0 6.667 -1.775 5.217 -1.760 1957 12 5.111 0.506 0 0 5.111 0.506 4.697 1.556 1958 1 3.944 -0.453 0 0 3.944 -0.453 2.421 -0.512 1958 2 7.556 1.419 0 0 7.556 1.419 6.093 1.421 1958 3 6.944 -1.908 0 0 6.944 -1.908 5.037 -2.351 1958 4 13.111 0.327 0 0 13.111 0.327 10.839 -0.481 1958 5 19.278 1.944 0 0 19.278 1.944 16.768 0.899 1958 6 25.167 2.575 0 0 25.167 2.575 22.861 1.734 1958 7 25.944 1.275 0 0 25.944 1.275 23.648 0.444 1958 8 24.722 1.401 0 0 24.722 1.401 22.411 0.554 1958 9 21.167 0.902 0 0 21.167 0.902 19.040 0.241 1958 10 14.556 -0.012 0 0 14.556 -0.012 12.964 -0.139 1958 11 7.722 -0.719 0 0 7.722 -0.719 7.366 0.390 1958 12 5.444 0.839 0 0 5.444 0.839 5.180 2.040 1959 1 4.611 0.213 0 0 4.611 0.213 4.395 1.462 1959 2 4.833 -1.303 0 0 4.833 -1.303 4.329 -0.343 1959 3 8.444 -0.408 0 0 8.444 -0.408 6.612 -0.776 1959 4 15.333 2.549 0 0 15.333 2.549 12.804 1.484 1959 5 16.778 -0.556 0 0 16.778 -0.556 15.184 -0.685 1959 6 23.389 0.797 0 0 23.389 0.797 22.431 1.303 1959 7 23.614 -1.055 1 0 NaN NaN 23.352 0.148 1959 8 23.056 -0.266 0 0 23.056 -0.266 21.435 -0.421 1959 9 18.778 -1.487 0 0 18.778 -1.487 18.903 0.103 1959 10 NaN NaN NaN NaN NaN NaN 13.670 0.567 1959 11 9.253 0.812 1 0 NaN NaN 6.579 -0.398 1959 12 6.222 1.617 0 0 6.222 1.617 3.990 0.850 1960 1 NaN NaN NaN NaN NaN NaN 0.837 -2.096 1960 2 NaN NaN NaN NaN NaN NaN 2.260 -2.412 1960 3 NaN NaN NaN NaN NaN NaN 8.833 1.446 1960 4 NaN NaN NaN NaN NaN NaN 11.987 0.667 1960 5 NaN NaN NaN NaN NaN NaN 15.116 -0.753 1960 6 NaN NaN NaN NaN NaN NaN 22.686 1.559 1960 7 NaN NaN NaN NaN NaN NaN 22.662 -0.543 1960 8 NaN NaN NaN NaN NaN NaN 22.574 0.718 1960 9 NaN NaN NaN NaN NaN NaN 20.031 1.231 1960 10 NaN NaN NaN NaN NaN NaN 12.743 -0.359 1960 11 NaN NaN NaN NaN NaN NaN 8.048 1.072 1960 12 NaN NaN NaN NaN NaN NaN 1.347 -1.793