six_arnold_leaf_current-year.xml

<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<metadata>
    <idinfo>
        <citation>
            <citeinfo>
                <origin>USA National Phenology Network</origin>
                <pubdate>2016</pubdate>
                <title>Arnold Red Honeysuckle First Leaf Index, Contiguous United States, Current Year</title>
                <geoform>Raster Digital Data Set</geoform>
                <onlink>http://dx.doi.org/10.5066/F7XD0ZRK</onlink>
                <lworkcit>
                    <citeinfo>
                        <origin>USA National Phenology Network</origin>
                        <pubdate>2016</pubdate>
                        <title>USA National Phenology Network, Gridded Data Product Suite</title>
                        <geoform>GIS Data Service</geoform>
                        <pubinfo>
                            <pubplace>Internet</pubplace>
                            <publish>USA National Phenology Network</publish>
                        </pubinfo>
                    </citeinfo>
                </lworkcit>
            </citeinfo>
        </citation>
        <descript>
            <abstract>Daily progression of the Extended Spring Index (SI-x) of First Leaf, Arnold Red honeysuckle sub-model. Each pixel is assigned a day of year value once the requirements for the First Leaf Index have been met for that location. The Extended Spring Indices are mathematical models that predict the "start of spring" (timing of leaf out or bloom for species active in early spring) at a particular location. This model was constructed using historical observations of the timing of first leaf in a cloned honeysuckle cultivar (Lonicera tatarica 'Arnold Red'). Primary inputs to the model are temperature events, beginning January 1 of each year. Layers are available for each day of the current year, plus six days into the future, at a 2.5km resolution. Input temperature data based on NOAA National Centers for Environmental Prediction (NCEP) Real-Time Mesoscale Analysis Products, NCEP Unrestricted Mesoscale Analysis Products; short-term temperature forecast products based on NOAA National Weather Service National Digital Forecast Database. Each night, the data are re-generated for the previous two days, the current day, and the next six days. This allows more stable data and better forecasts to be incorporated into each day's representation of the model. Because the short-term forecasts are adjusted daily, pixels values may vary from one day to the next.</abstract>
            <purpose>The Extended Spring Indices have been used as an indicator of climate change by both the Environmental Protection Agency and the National Climate Assessment. The gridded forecasts of first leaf and first bloom support understanding of spatial patterns in the timing of spring, as well as short-term forecasts to support resource management.</purpose>
            <supplinf></supplinf>
        </descript>
        <timeperd>
            <timeinfo>
                <rngdates>
                    <begdate>20170101</begdate>
                    <enddate>PRESENT</enddate>
                </rngdates>
            </timeinfo>
            <current>ground condition</current>
        </timeperd>
        <status>
            <progress>In work</progress>
            <update>Daily</update>
        </status>
        <spdom>
            <bounding>
                <westbc>-125.0208333</westbc>
                <eastbc>-66.4791667</eastbc>
                <northbc>49.9375</northbc>
                <southbc>24.0625</southbc>
            </bounding>
        </spdom>
        <keywords>
            <theme>
                <themekt>USGS Thesaurus</themekt>
                <themekey>phenology</themekey>
                <themekey>ecology</themekey>
            </theme>
            <place>
                <placekt>Common geographic areas</placekt>
                <placekey>United States</placekey>
            </place>
        </keywords>
        <accconst>Public</accconst>
        <useconst>Please cite these products as follows:Please cite these products as follows:  [Author] [Year Published] [Dataset Title] {as of [DOY] (for continuous daily data) | Year(s) [Year(s)] (for annual products) | Date [Date] (for daily products) } for Region [Coordinates]. [Parameterized URL for Data Download] [Data Owner][City/State] Dataset Accessed [Date of Access] at [DOI Link].
Example for the Spring Indices: USA National Phenology Network. 2017. Spring Indices, Current Year - First Bloom - Spring Index Date 2017-08-02. Region: 49.9375°, -66.4791667° (UR); 24.0625°, -125.0208333° (LL) http://data.usanpn.org/geoserver request builder?service=wms&amp;layer=si x:average_bloom_ncep&amp;date=2017 08 02&amp;format=image/png&amp;projection=4269&amp;width=1700&amp;height=800&amp;colors=1 . USA-NPN, Tucson, Arizona, USA. Data set accessed 2017-8-2. http://doi.org/10.5066/F7XD0ZRK</useconst>
        <ptcontac>
            <cntinfo>
                <cntorgp>
                    <cntorg>USA National Phenology Network</cntorg>
                    <cntper>Theresa Crimmins</cntper>
                </cntorgp>
                <cntpos>Director</cntpos>
                <cntaddr>
                    <addrtype>Mailing and Physical</addrtype>
                    <address>1311 E 4th St</address>
                    <city>Tucson</city>
                    <state>AZ</state>
                    <postal>85721</postal>
                    <country>USA</country>
                </cntaddr>
                <cntvoice>+1-520-621-8523</cntvoice>
                <cntemail>theresa@usanpn.org</cntemail>
            </cntinfo>
        </ptcontac>
        <datacred>United States Geological Survey</datacred>
        <native>Operating System: Ubuntu 18.04.5 LTS (GNU/Linux 4.15.0-112-generic x86_64); WMS/WCS Implementation: Geoserver 2.16; Raster Data Housed in PostgreSQL 12.2</native>
    </idinfo>
    <dataqual>
        <attracc>
            <attraccr>No formal attribute accuracy tests were conducted.</attraccr>
        </attracc>
        <logic>Data is provided as-is. No logical accuracy tests are performed beyond that done by the original data publishers.</logic>
        <complete>Data is provided as-is.</complete>
        <posacc>
            <horizpa>
                <horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>
            </horizpa>
            <vertacc>
                <vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>
            </vertacc>
        </posacc>
        <lineage>
            <srcinfo>
                <srccite>
                    <citeinfo>
                        <origin>NOAA National Centers for Environmental Prediction</origin>
                        <pubdate>2017</pubdate>
                        <title>RTMA - Contiguous United States Grid 184 - 2.5 km resolution</title>
                        <geoform>Raster Digital Data Set</geoform>
                        <pubinfo>
                            <pubplace>Internet</pubplace>
                            <publish>NOAA National Centers for Environmental Prediction</publish>
                        </pubinfo>
                        <onlink>http://www.nco.ncep.noaa.gov/pmb/products/rtma/</onlink>
                    </citeinfo>
                </srccite>
                <typesrc>Digital and/or Hardcopy Resources</typesrc>
                <srctime>
                    <timeinfo>
                        <rngdates>
                            <begdate>20170101</begdate>
                            <enddate>PRESENT</enddate>
                        </rngdates>
                    </timeinfo>
                    <srccurr>ground condition</srccurr>
                </srctime>
                <srccitea>NCEP RTMA</srccitea>
                <srccontr>Used as intermediary data source between URMA and NDFD data sources</srccontr>
            </srcinfo>
            <srcinfo>
                <srccite>
                    <citeinfo>
                        <origin>NOAA National Centers for Environmental Prediction</origin>
                        <pubdate>2017</pubdate>
                        <title>URMA - Contiguous United States - Grid 184 - Conus - 2.5km resolution</title>
                        <geoform>Raster Digital Data Set</geoform>
                        <pubinfo>
                            <pubplace>Internet</pubplace>
                            <publish>NOAA National Centers for Environmental Prediction</publish>
                        </pubinfo>
                        <onlink>http://www.nco.ncep.noaa.gov/pmb/products/rtma/#URMA</onlink>
                    </citeinfo>
                </srccite>
                <typesrc>Digital and/or Hardcopy Resources</typesrc>
                <srctime>
                    <timeinfo>
                        <rngdates>
                            <begdate>20170101</begdate>
                            <enddate>PRESENT</enddate>
                        </rngdates>
                    </timeinfo>
                    <srccurr>ground condition</srccurr>
                </srctime>
                <srccitea>URMA</srccitea>
                <srccontr>Used as authoritative data source on previous day observational data</srccontr>
            </srcinfo>
            <srcinfo>
                <srccite>
                    <citeinfo>
                        <origin>National Weather Service</origin>
                        <pubdate>2017</pubdate>
                        <title>NWS National Digital Forecast Database</title>
                        <geoform>Raster Digital Data Set</geoform>
                        <pubinfo>
                            <pubplace>Internet</pubplace>
                            <publish>National Weather Service</publish>
                        </pubinfo>
                        <onlink>http://www.nws.noaa.gov/ndfd/technical.htm</onlink>
                    </citeinfo>
                </srccite>
                <typesrc>Digital and/or Hardcopy Resources</typesrc>
                <srctime>
                    <timeinfo>
                        <rngdates>
                            <begdate>20170101</begdate>
                            <enddate>PRESENT</enddate>
                        </rngdates>
                    </timeinfo>
                    <srccurr>ground condition</srccurr>
                </srctime>
                <srccitea>NDFD</srccitea>
                <srccontr>Provides current day and next six day temperature forecasts</srccontr>
            </srcinfo>
            <procstep>
                <procdesc>NCEP NDFD forecast data is retrieved for current day and the forthcoming six days and is used to populate those days with temperature values.</procdesc>
                <procdate>Not complete</procdate>
            </procstep>
            <procstep>
                <procdesc>NCEP RTMA data (hourly temperatures) is retrieved for the past 24 hours.</procdesc>
                <procdate>Not complete</procdate>
            </procstep>
            <procstep>
                <procdesc>NCEP URMA data (hourly temperatures) is retrieved for the past 24 hours.</procdesc>
                <procdate>Not complete</procdate>
            </procstep>
            <procstep>
                <procdesc>Daily Tmin/Tmax is generated for the previous four days from the retrieved URMA and RTMA hourly data. In this step URMA data is always given preference, and RTMA is only used for hours where URMA is not yet available.</procdesc>
                <procdate>Not complete</procdate>
            </procstep>
            <procstep>
                <procdesc>Spring Index layers are populated from three days back (t-3) to six days into the future (t+6) using the Tmin/Tmax data from the previous steps. Preference of backing climate data in this step is to use URMA when available, then falling back to RTMA, and finally NDFD.</procdesc>
                <procdate>Not complete</procdate>
            </procstep>
        </lineage>
    </dataqual>
    <spdoinfo>
        <direct>Raster</direct>
        <rastinfo>
            <rasttype>Grid Cell</rasttype>
            <rowcount>1228</rowcount>
            <colcount>2606</colcount>
            <vrtcount>1</vrtcount>
        </rastinfo>
    </spdoinfo>
    <spref>
        <horizsys>
            <geograph>
                <latres>0.0210708469055</latres>
                <longres>0.022464185188</longres>
                <geogunit>Decimal seconds</geogunit>
            </geograph>
            <geodetic>
                <horizdn>D_North_American_1983</horizdn>
                <ellips>GRS_1980</ellips>
                <semiaxis>6378137.0</semiaxis>
                <denflat>298.257222101</denflat>
            </geodetic>
        </horizsys>
    </spref>
    <eainfo>
        <detailed>
            <enttyp>
                <enttypl>Attribute Table</enttypl>
                <enttypd>Table containing attribute information associated with the data set.</enttypd>
                <enttypds>Producer defined</enttypds>
            </enttyp>
            <attr>
                <attrlabl>Value</attrlabl>
                <attrdef>Extended Spring Index Value, predicting day of first leaf for Lonicera tatarica 'Arnold Red'</attrdef>
                <attrdefs>Producer defined</attrdefs>
                <attrdomv>
                    <rdom>
                        <rdommin>1</rdommin>
                        <rdommax>240</rdommax>
                        <attrunit>day of year</attrunit>
                    </rdom>
                </attrdomv>
            </attr>
        </detailed>
        <overview>
            <eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>
            <eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>
        </overview>
    </eainfo>
    <distinfo>
        <distrib>
            <cntinfo>
                <cntorgp>
                    <cntorg>USA National Phenology Network</cntorg>
                    <cntper>Theresa Crimmins</cntper>
                </cntorgp>
                <cntpos>Director</cntpos>
                <cntaddr>
                    <addrtype>Mailing and Physical</addrtype>
                    <address>1311 E 4th St</address>
                    <city>Tucson</city>
                    <state>AZ</state>
                    <postal>85721</postal>
                    <country>USA</country>
                </cntaddr>
                <cntvoice>+1-520-621-8523</cntvoice>
                <cntemail>theresa@usanpn.org</cntemail>
            </cntinfo>
        </distrib>
        <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>
        <stdorder>
            <digform>
                <digtinfo>
                    <formname>Raster Digital Data Set Landing Page</formname>
                </digtinfo>
                <digtopt>
                    <onlinopt>
                        <computer>
                            <networka>
                                <networkr>http://dx.doi.org/10.5066/F7XD0ZRK</networkr>
                            </networka>
                        </computer>
                    </onlinopt>
                </digtopt>
            </digform>
            <digform>
                <digtinfo>
                    <formname>Raster Digital Data Set Machine Accessible WMS Endpoint</formname>
                </digtinfo>
                <digtopt>
                    <onlinopt>
                        <computer>
                            <networka>
                                <networkr>http://geoserver.usanpn.org/geoserver/wms?request=GetCapabilities</networkr>
                            </networka>
                        </computer>
                    </onlinopt>
                </digtopt>
            </digform>
            <digform>
                <digtinfo>
                    <formname>Raster Digital Data Set Machine Accessible WCS Endpoint</formname>
                </digtinfo>
                <digtopt>
                    <onlinopt>
                        <computer>
                            <networka>
                                <networkr>http://geoserver.usanpn.org/geoserver/wcs?request=GetCapabilities</networkr>
                            </networka>
                        </computer>
                    </onlinopt>
                </digtopt>
            </digform>
            <fees>None.</fees>
        </stdorder>
    </distinfo>
    <metainfo>
        <metd>20160413</metd>
        <metc>
            <cntinfo>
                <cntperp>
                    <cntper>Alyssa Rosemartin</cntper>
                    <cntorg>USA National Phenology Network</cntorg>
                </cntperp>
                <cntpos>Partner & Application Specialist</cntpos>
                <cntaddr>
                    <addrtype>Mailing and Physical</addrtype>
                    <address>1311 E 4th St</address>
                    <city>Tucson</city>
                    <state>AZ</state>
                    <postal>85721</postal>
                    <country>USA</country>
                </cntaddr>
                <cntvoice>+1-520-621-8523</cntvoice>
                <cntemail>alyssa@usanpn.org</cntemail>
            </cntinfo>
        </metc>
        <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
        <metstdv>FGDC-STD-001-1998</metstdv>
    </metainfo>
</metadata>