% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 167305 % Primary Name: MOULTRIE SPENCE FIELD AFB % Record Type: TAVG % Country: United States % State: GA % Latitude: 31.13330 +/- 0.00005 % Longitude: -83.70000 +/- 0.00005 % Elevation (m): 89.00 +/- 0.05 % # of Months: 53 % % Alternate Names: MOULTRIE SPENCE FLD AAF % MOULTRIE SPENCE FLD AFB % % IDs: faa - MUL % ghcnd - USW00013835 % ncdc - 20004720 % wban - 13835 % % Sources: US First Order Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 009974a8268f5b98e56e967313e5e831 % Raw Data Hash: a510ad3a665fe3987fd1b19e834d4a3a % Adj Data Hash: cc330dea74469929443b629cdd3ca20a % % 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 1950 9 NaN NaN NaN NaN NaN NaN 24.294 -0.702 1950 10 NaN NaN NaN NaN NaN NaN 20.676 1.288 1950 11 NaN NaN NaN NaN NaN NaN 12.235 -2.214 1950 12 NaN NaN NaN NaN NaN NaN 8.171 -2.614 1951 1 NaN NaN NaN NaN NaN NaN 10.653 0.676 1951 2 NaN NaN NaN NaN NaN NaN 11.192 -0.108 1951 3 NaN NaN NaN NaN NaN NaN 15.412 0.259 1951 4 NaN NaN NaN NaN NaN NaN 18.270 -0.911 1951 5 NaN NaN NaN NaN NaN NaN 22.250 -0.834 1951 6 NaN NaN NaN NaN NaN NaN 27.006 0.983 1951 7 NaN NaN NaN NaN NaN NaN 27.520 0.236 1951 8 NaN NaN NaN NaN NaN NaN 28.240 1.112 1951 9 26.257 0.624 1 0 NaN NaN 26.135 1.140 1951 10 21.631 1.606 0 0 21.808 1.782 20.907 1.519 1951 11 NaN NaN NaN NaN NaN NaN 12.918 -1.531 1951 12 12.871 1.448 1 0 NaN NaN 13.243 2.458 1952 1 13.342 2.727 0 0 13.519 2.904 13.769 3.792 1952 2 13.143 1.206 0 0 13.320 1.382 12.052 0.752 1952 3 15.780 -0.012 0 0 15.957 0.165 15.560 0.406 1952 4 18.057 -1.762 0 0 18.234 -1.585 17.966 -1.215 1952 5 23.867 0.145 1 0 NaN NaN 23.498 0.414 1952 6 29.007 2.346 0 0 29.184 2.523 28.624 2.601 1952 7 28.177 0.256 0 0 28.354 0.432 28.047 0.763 1952 8 27.334 -0.433 0 0 27.510 -0.256 27.143 0.014 1952 9 NaN NaN NaN NaN NaN NaN 24.671 -0.324 1952 10 17.894 -2.132 0 0 18.071 -1.955 17.653 -1.735 1952 11 15.471 0.385 1 0 NaN NaN 14.377 -0.072 1952 12 10.996 -0.427 1 0 NaN NaN 9.779 -1.006 1953 1 13.910 3.294 1 0 NaN NaN 11.646 1.668 1953 2 12.805 0.867 0 0 12.981 1.044 11.658 0.358 1953 3 18.360 2.568 0 0 18.536 2.745 17.218 2.064 1953 4 18.207 -1.612 0 0 18.384 -1.435 18.329 -0.852 1953 5 26.173 2.452 1 0 NaN NaN 25.235 2.151 1953 6 27.255 0.594 0 0 27.431 0.770 26.700 0.677 1953 7 27.453 -0.469 0 0 27.630 -0.292 27.022 -0.262 1953 8 NaN NaN NaN NaN NaN NaN 26.882 -0.247 1953 9 24.662 -0.971 0 0 24.839 -0.794 24.563 -0.432 1953 10 20.381 0.355 0 0 20.558 0.532 19.492 0.104 1953 11 14.245 -0.841 1 0 NaN NaN 13.774 -0.675 1953 12 10.500 -0.923 1 0 NaN NaN 11.038 0.253 1954 1 NaN NaN NaN NaN NaN NaN 11.703 1.726 1954 2 NaN NaN NaN NaN NaN NaN 12.944 1.644 1954 3 15.206 -0.585 0 0 15.383 -0.408 14.975 -0.179 1954 4 22.138 2.319 1 0 NaN NaN 21.308 2.127 1954 5 NaN NaN NaN NaN NaN NaN 20.891 -2.193 1954 6 27.787 1.126 0 0 27.964 1.303 27.160 1.137 1954 7 NaN NaN NaN NaN NaN NaN 28.247 0.963 1954 8 29.423 1.657 0 0 29.600 1.834 28.747 1.618 1954 9 27.335 1.701 1 0 NaN NaN 26.892 1.897 1954 10 20.379 0.353 0 0 20.556 0.530 19.513 0.125 1954 11 NaN NaN NaN NaN NaN NaN 12.983 -1.466 1954 12 NaN NaN NaN NaN NaN NaN 9.645 -1.140 1955 1 9.600 -1.015 1 0 NaN NaN 9.563 -0.414 1955 2 NaN NaN NaN NaN NaN NaN 12.053 0.753 1955 3 NaN NaN NaN NaN NaN NaN 17.381 2.227 1955 4 NaN NaN NaN NaN NaN NaN 20.589 1.408 1955 5 24.950 1.229 1 0 NaN NaN 24.130 1.047 1955 6 25.507 -1.154 0 4 25.235 -1.426 24.656 -1.367 1955 7 27.720 -0.202 1 0 NaN NaN 27.084 -0.200 1955 8 28.484 0.718 0 0 28.212 0.445 27.487 0.358 1955 9 NaN NaN NaN NaN NaN NaN 25.750 0.755 1955 10 20.096 0.070 0 0 19.823 -0.202 18.591 -0.797 1955 11 NaN NaN NaN NaN NaN NaN 13.871 -0.577 1955 12 NaN NaN NaN NaN NaN NaN 10.255 -0.530 1956 1 NaN NaN NaN NaN NaN NaN 8.246 -1.731 1956 2 14.248 2.310 1 0 NaN NaN 14.450 3.150 1956 3 15.727 -0.064 0 0 15.455 -0.337 14.961 -0.193 1956 4 18.576 -1.242 0 0 18.304 -1.515 18.264 -0.917 1956 5 NaN NaN NaN NaN NaN NaN 23.881 0.798 1956 6 27.086 0.425 0 0 26.814 0.153 25.649 -0.375 1956 7 27.629 -0.292 1 0 NaN NaN 26.736 -0.548 1956 8 27.987 0.220 0 0 27.715 -0.052 27.633 0.505 1956 9 23.508 -2.125 1 0 NaN NaN 23.960 -1.035 1956 10 21.211 1.185 0 0 20.939 0.913 19.741 0.353 1956 11 14.312 -0.775 0 0 14.040 -1.047 13.813 -0.636 1956 12 16.720 5.297 1 0 NaN NaN 14.454 3.669 1957 1 14.343 3.728 1 0 NaN NaN 12.719 2.742 1957 2 16.271 4.333 0 0 15.999 4.061 15.427 4.127 1957 3 15.417 -0.375 1 0 NaN NaN 14.623 -0.531 1957 4 20.861 1.043 0 0 20.589 0.771 19.909 0.728 1957 5 24.414 0.692 0 0 24.141 0.420 23.387 0.303 1957 6 NaN NaN NaN NaN NaN NaN 26.160 0.137 1957 7 NaN NaN NaN NaN NaN NaN 27.085 -0.199 1957 8 27.682 -0.085 0 0 27.410 -0.357 26.833 -0.296 1957 9 NaN NaN NaN NaN NaN NaN 25.549 0.554 1957 10 NaN NaN NaN NaN NaN NaN 17.462 -1.926 1957 11 NaN NaN NaN NaN NaN NaN 15.959 1.510 1957 12 NaN NaN NaN NaN NaN NaN 10.641 -0.144 1958 1 NaN NaN NaN NaN NaN NaN 6.882 -3.095 1958 2 NaN NaN NaN NaN NaN NaN 6.343 -4.958 1958 3 NaN NaN NaN NaN NaN NaN 13.768 -1.386 1958 4 NaN NaN NaN NaN NaN NaN 19.589 0.408 1958 5 NaN NaN NaN NaN NaN NaN 22.703 -0.380 1958 6 NaN NaN NaN NaN NaN NaN 26.382 0.359 1958 7 NaN NaN NaN NaN NaN NaN 27.109 -0.175 1958 8 NaN NaN NaN NaN NaN NaN 27.303 0.174