% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 18761 % Primary Name: SAIPAN MARIANA IS/TANAPAG NAS % Record Type: TAVG % Country: Northern Mariana Islands [United States] % Latitude: 15.21600 +/- 0.00050 % Longitude: 145.74900 +/- 0.00050 % Elevation (m): 11.00 +/- 0.05 % # of Months: 55 % % IDs: gsod - 749498-99999 % usaf - 749498 % % Sources: Global Summary of the Day % % Site Hash: bdea16f00e49f11f0d142b8f501996bd % Raw Data Hash: c2ecd5614173f7de6c48577ee4009f59 % Adj Data Hash: 468e0a1ec79f1f9f0f87286572aa6280 % % 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 6 NaN NaN NaN NaN NaN NaN 27.734 -0.336 1944 7 NaN NaN NaN NaN NaN NaN 27.638 -0.168 1944 8 NaN NaN NaN NaN NaN NaN 26.969 -0.563 1944 9 NaN NaN NaN NaN NaN NaN 27.399 -0.125 1944 10 NaN NaN NaN NaN NaN NaN 27.492 0.224 1944 11 NaN NaN NaN NaN NaN NaN 27.196 -0.079 1944 12 NaN NaN NaN NaN NaN NaN 26.658 0.111 1945 1 NaN NaN NaN NaN NaN NaN 25.643 -0.285 1945 2 NaN NaN NaN NaN NaN NaN 25.875 0.029 1945 3 NaN NaN NaN NaN NaN NaN 25.638 -0.574 1945 4 NaN NaN NaN NaN NaN NaN 26.658 -0.258 1945 5 NaN NaN NaN NaN NaN NaN 27.243 -0.400 1945 6 27.982 -0.608 1 0 NaN NaN 27.958 -0.112 1945 7 28.111 -0.216 0 0 28.111 -0.216 27.660 -0.146 1945 8 28.072 0.019 0 0 28.072 0.019 27.603 0.071 1945 9 28.004 -0.041 0 0 28.004 -0.041 27.620 0.097 1945 10 27.604 -0.186 0 0 27.604 -0.186 26.963 -0.305 1945 11 27.983 0.188 0 0 27.983 0.188 27.483 0.208 1945 12 27.477 0.409 0 0 27.477 0.409 26.824 0.277 1946 1 27.093 0.645 0 0 27.093 0.645 26.744 0.816 1946 2 26.825 0.458 0 0 26.825 0.458 26.482 0.636 1946 3 27.082 0.349 0 0 27.082 0.349 26.562 0.350 1946 4 27.339 -0.098 0 0 27.339 -0.098 26.873 -0.043 1946 5 NaN NaN NaN NaN NaN NaN 27.319 -0.325 1946 6 NaN NaN NaN NaN NaN NaN 27.099 -0.970 1946 7 NaN NaN NaN NaN NaN NaN 27.145 -0.661 1946 8 NaN NaN NaN NaN NaN NaN 26.913 -0.618 1946 9 27.676 -0.368 1 0 NaN NaN 27.330 -0.193 1946 10 28.409 0.619 0 0 28.409 0.619 27.586 0.317 1946 11 27.817 0.021 0 0 27.817 0.021 27.335 0.061 1946 12 27.222 0.154 0 0 27.222 0.154 26.434 -0.113 1947 1 26.156 -0.293 0 0 26.156 -0.293 25.572 -0.355 1947 2 26.256 -0.111 0 0 26.256 -0.111 25.720 -0.126 1947 3 26.903 0.170 0 0 26.903 0.170 26.290 0.078 1947 4 27.546 0.109 0 0 27.546 0.109 27.016 0.100 1947 5 27.776 -0.388 0 0 27.776 -0.388 27.391 -0.252 1947 6 28.235 -0.355 0 0 28.235 -0.355 27.952 -0.117 1947 7 28.048 -0.279 0 0 28.048 -0.279 27.508 -0.298 1947 8 28.247 0.195 0 0 28.247 0.195 27.794 0.262 1947 9 27.798 -0.246 0 0 27.798 -0.246 27.449 -0.074 1947 10 27.661 -0.128 0 0 27.661 -0.128 27.013 -0.255 1947 11 28.267 0.471 0 0 28.267 0.471 27.733 0.458 1947 12 28.041 0.973 0 0 28.041 0.973 27.174 0.628 1948 1 27.104 0.655 0 0 27.104 0.655 26.398 0.470 1948 2 26.130 -0.237 0 0 26.130 -0.237 25.910 0.064 1948 3 26.122 -0.611 0 0 26.122 -0.611 25.813 -0.399 1948 4 26.789 -0.648 0 0 26.789 -0.648 26.416 -0.500 1948 5 27.805 -0.360 0 0 27.805 -0.360 27.274 -0.369 1948 6 28.454 -0.136 0 0 28.454 -0.136 27.783 -0.286 1948 7 28.455 0.128 0 0 28.455 0.128 27.742 -0.064 1948 8 28.199 0.146 0 0 28.199 0.146 27.463 -0.068 1948 9 28.228 0.183 0 0 28.228 0.183 27.573 0.049 1948 10 28.052 0.262 0 0 28.052 0.262 27.217 -0.052 1948 11 NaN NaN NaN NaN NaN NaN 26.862 -0.413 1948 12 NaN NaN NaN NaN NaN NaN 25.938 -0.609 1949 1 NaN NaN NaN NaN NaN NaN 25.696 -0.232 1949 2 NaN NaN NaN NaN NaN NaN 25.135 -0.711 1949 3 NaN NaN NaN NaN NaN NaN 25.883 -0.329 1949 4 26.774 -0.663 1 0 NaN NaN 26.645 -0.271 1949 5 27.468 -0.696 0 0 27.468 -0.696 26.948 -0.696 1949 6 28.041 -0.549 0 0 28.041 -0.549 27.716 -0.353 1949 7 27.557 -0.770 0 0 27.557 -0.770 27.155 -0.651 1949 8 28.220 0.168 0 0 28.220 0.168 27.563 0.031 1949 9 27.800 -0.244 0 0 27.800 -0.244 27.391 -0.133 1949 10 28.134 0.345 0 0 28.134 0.345 27.610 0.341 1949 11 27.863 0.067 0 0 27.863 0.067 27.407 0.132 1949 12 27.389 0.321 0 0 27.389 0.321 26.791 0.244 1950 1 26.470 0.021 0 0 26.470 0.021 25.877 -0.051 1950 2 26.056 -0.311 0 0 26.056 -0.311 25.728 -0.118 1950 3 27.084 0.351 0 0 27.084 0.351 26.293 0.081 1950 4 NaN NaN NaN NaN NaN NaN 26.813 -0.103 1950 5 NaN NaN NaN NaN NaN NaN 26.812 -0.831 1950 6 NaN NaN NaN NaN NaN NaN 27.220 -0.849 1950 7 NaN NaN NaN NaN NaN NaN 27.006 -0.800 1950 8 NaN NaN NaN NaN NaN NaN 27.270 -0.261 1950 9 NaN NaN NaN NaN NaN NaN 27.133 -0.390 1950 10 NaN NaN NaN NaN NaN NaN 27.050 -0.219 1950 11 NaN NaN NaN NaN NaN NaN 26.864 -0.411 1950 12 26.835 -0.233 0 0 26.835 -0.233 26.443 -0.104 1951 1 26.828 0.379 0 0 26.828 0.379 26.301 0.373 1951 2 26.627 0.260 0 0 26.627 0.260 26.339 0.493 1951 3 26.892 0.159 0 0 26.892 0.159 26.340 0.128 1951 4 27.311 -0.126 0 0 27.311 -0.126 26.998 0.082 1951 5 27.925 -0.239 0 0 27.925 -0.239 27.453 -0.190 1951 6 NaN NaN NaN NaN NaN NaN 28.275 0.206 1951 7 NaN NaN NaN NaN NaN NaN 27.920 0.114 1951 8 NaN NaN NaN NaN NaN NaN 27.355 -0.177 1951 9 NaN NaN NaN NaN NaN NaN 28.455 0.932 1951 10 NaN NaN NaN NaN NaN NaN 27.800 0.532 1951 11 NaN NaN NaN NaN NaN NaN 27.447 0.172 1951 12 NaN NaN NaN NaN NaN NaN 26.659 0.112 1952 1 NaN NaN NaN NaN NaN NaN 25.889 -0.039 1952 2 NaN NaN NaN NaN NaN NaN 25.922 0.076 1952 3 NaN NaN NaN NaN NaN NaN 25.900 -0.312 1952 4 NaN NaN NaN NaN NaN NaN 26.654 -0.262 1952 5 NaN NaN NaN NaN NaN NaN 27.381 -0.262