% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 184 % Primary Name: HACIA HIGUEY DOMINICAN REP. % Record Type: TAVG % Country: Dominican Republic % Latitude: 18.60000 +/- 0.05000 % Longitude: -68.30000 +/- 0.05000 % Elevation (m): 100.00 +/- 0.50 % # of Months: 28 % % IDs: wmssc - 784787 % % Sources: World Monthly Surface Station Climatology % % Site Hash: 366f6774975ce01f7ae4ae0272290997 % Raw Data Hash: 8ea89fdcb3a9339b92ba87271ca8aaad % Adj Data Hash: 8ea89fdcb3a9339b92ba87271ca8aaad % % 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 1960 12 NaN NaN NaN NaN NaN NaN 25.035 -0.076 1961 1 NaN NaN NaN NaN NaN NaN 24.642 0.407 1961 2 NaN NaN NaN NaN NaN NaN 24.348 0.412 1961 3 NaN NaN NaN NaN NaN NaN 24.336 0.161 1961 4 NaN NaN NaN NaN NaN NaN 25.035 0.283 1961 5 NaN NaN NaN NaN NaN NaN 26.281 0.248 1961 6 NaN NaN NaN NaN NaN NaN 26.613 -0.346 1961 7 NaN NaN NaN NaN NaN NaN 27.071 -0.253 1961 8 NaN NaN NaN NaN NaN NaN 27.437 -0.039 1961 9 NaN NaN NaN NaN NaN NaN 27.244 -0.148 1961 10 NaN NaN NaN NaN NaN NaN 26.787 -0.180 1961 11 NaN NaN NaN NaN NaN NaN 25.676 -0.676 1961 12 24.300 -0.903 0 0 24.300 -0.903 24.811 -0.300 1962 1 24.900 0.574 0 0 24.900 0.574 24.355 0.120 1962 2 NaN NaN NaN NaN NaN NaN 23.575 -0.361 1962 3 24.500 0.234 0 0 24.500 0.234 24.112 -0.063 1962 4 25.300 0.457 0 0 25.300 0.457 24.801 0.049 1962 5 25.600 -0.525 0 0 25.600 -0.525 25.690 -0.344 1962 6 NaN NaN NaN NaN NaN NaN 26.753 -0.206 1962 7 27.800 0.385 0 0 27.800 0.385 27.449 0.125 1962 8 NaN NaN NaN NaN NaN NaN 27.384 -0.092 1962 9 27.800 0.316 0 0 27.800 0.316 27.509 0.117 1962 10 26.900 -0.158 0 0 26.900 -0.158 27.158 0.192 1962 11 25.900 -0.544 0 0 25.900 -0.544 26.340 -0.013 1962 12 25.100 -0.103 0 0 25.100 -0.103 25.453 0.341 1963 1 23.800 -0.526 0 0 23.800 -0.526 24.230 -0.005 1963 2 24.500 0.473 0 0 24.500 0.473 24.451 0.515 1963 3 24.900 0.634 0 0 24.900 0.634 24.559 0.385 1963 4 25.600 0.757 0 0 25.600 0.757 25.031 0.279 1963 5 26.500 0.375 0 0 26.500 0.375 25.906 -0.128 1963 6 27.700 0.650 0 0 27.700 0.650 27.084 0.125 1963 7 28.300 0.885 0 0 28.300 0.885 27.461 0.137 1963 8 27.300 -0.267 0 0 27.300 -0.267 27.605 0.129 1963 9 27.500 0.016 0 0 27.500 0.016 27.681 0.289 1963 10 27.100 0.042 0 0 27.100 0.042 27.461 0.495 1963 11 26.000 -0.444 0 0 26.000 -0.444 26.570 0.218 1963 12 25.800 0.597 0 0 25.800 0.597 25.909 0.798 1964 1 23.900 -0.426 0 0 23.900 -0.426 24.551 0.316 1964 2 24.900 0.873 0 0 24.900 0.873 24.851 0.915 1964 3 25.500 1.234 0 0 25.500 1.234 25.029 0.855 1964 4 26.000 1.157 0 0 26.000 1.157 25.049 0.297 1964 5 26.800 0.675 0 0 26.800 0.675 26.462 0.429 1964 6 26.900 -0.150 0 0 26.900 -0.150 26.971 0.012 1964 7 NaN NaN NaN NaN NaN NaN 27.175 -0.149 1964 8 NaN NaN NaN NaN NaN NaN 27.368 -0.108 1964 9 NaN NaN NaN NaN NaN NaN 27.467 0.075 1964 10 NaN NaN NaN NaN NaN NaN 27.013 0.047 1964 11 NaN NaN NaN NaN NaN NaN 26.178 -0.174 1964 12 NaN NaN NaN NaN NaN NaN 24.158 -0.954 1965 1 NaN NaN NaN NaN NaN NaN 23.162 -1.073 1965 2 NaN NaN NaN NaN NaN NaN 23.435 -0.501 1965 3 NaN NaN NaN NaN NaN NaN 24.474 0.300 1965 4 NaN NaN NaN NaN NaN NaN 24.261 -0.490 1965 5 NaN NaN NaN NaN NaN NaN 25.368 -0.665 1965 6 NaN NaN NaN NaN NaN NaN 26.227 -0.732