|
| 1 | +<?xml version="1.0" encoding="UTF-8"?> |
| 2 | +<doi_batch xmlns="http://www.crossref.org/schema/5.3.1" |
| 3 | + xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" |
| 4 | + xmlns:rel="http://www.crossref.org/relations.xsd" |
| 5 | + xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" |
| 6 | + version="5.3.1" |
| 7 | + xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd"> |
| 8 | + <head> |
| 9 | + <doi_batch_id>20250120214217-ce7762057fc1b280ec6523f63c975d46740e28f7</doi_batch_id> |
| 10 | + <timestamp>20250120214217</timestamp> |
| 11 | + <depositor> |
| 12 | + <depositor_name>JOSS Admin</depositor_name> |
| 13 | + < email_address> [email protected]</ email_address> |
| 14 | + </depositor> |
| 15 | + <registrant>The Open Journal</registrant> |
| 16 | + </head> |
| 17 | + <body> |
| 18 | + <journal> |
| 19 | + <journal_metadata> |
| 20 | + <full_title>Journal of Open Source Software</full_title> |
| 21 | + <abbrev_title>JOSS</abbrev_title> |
| 22 | + <issn media_type="electronic">2475-9066</issn> |
| 23 | + <doi_data> |
| 24 | + <doi>10.21105/joss</doi> |
| 25 | + <resource>https://joss.theoj.org</resource> |
| 26 | + </doi_data> |
| 27 | + </journal_metadata> |
| 28 | + <journal_issue> |
| 29 | + <publication_date media_type="online"> |
| 30 | + <month>01</month> |
| 31 | + <year>2025</year> |
| 32 | + </publication_date> |
| 33 | + <journal_volume> |
| 34 | + <volume>10</volume> |
| 35 | + </journal_volume> |
| 36 | + <issue>105</issue> |
| 37 | + </journal_issue> |
| 38 | + <journal_article publication_type="full_text"> |
| 39 | + <titles> |
| 40 | + <title>gridwxcomp: A Python package to evaluate and interpolate biases between station and gridded weather data</title> |
| 41 | + </titles> |
| 42 | + <contributors> |
| 43 | + <person_name sequence="first" contributor_role="author"> |
| 44 | + <given_name>John M.</given_name> |
| 45 | + <surname>Volk</surname> |
| 46 | + <affiliations> |
| 47 | + <institution><institution_name>Desert Research Institute, Reno, USA</institution_name></institution> |
| 48 | + </affiliations> |
| 49 | + <ORCID>https://orcid.org/0000-0001-9994-1545</ORCID> |
| 50 | + </person_name> |
| 51 | + <person_name sequence="additional" |
| 52 | + contributor_role="author"> |
| 53 | + <given_name>Christian</given_name> |
| 54 | + <surname>Dunkerly</surname> |
| 55 | + <affiliations> |
| 56 | + <institution><institution_name>Desert Research Institute, Reno, USA</institution_name></institution> |
| 57 | + </affiliations> |
| 58 | + <ORCID>https://orcid.org/0000-0003-3592-4118</ORCID> |
| 59 | + </person_name> |
| 60 | + <person_name sequence="additional" |
| 61 | + contributor_role="author"> |
| 62 | + <given_name>Christopher</given_name> |
| 63 | + <surname>Pearson</surname> |
| 64 | + <affiliations> |
| 65 | + <institution><institution_name>Desert Research Institute, Reno, USA</institution_name></institution> |
| 66 | + </affiliations> |
| 67 | + </person_name> |
| 68 | + <person_name sequence="additional" |
| 69 | + contributor_role="author"> |
| 70 | + <given_name>Charles G.</given_name> |
| 71 | + <surname>Morton</surname> |
| 72 | + <affiliations> |
| 73 | + <institution><institution_name>Desert Research Institute, Reno, USA</institution_name></institution> |
| 74 | + </affiliations> |
| 75 | + </person_name> |
| 76 | + <person_name sequence="additional" |
| 77 | + contributor_role="author"> |
| 78 | + <given_name>Justin L.</given_name> |
| 79 | + <surname>Huntington</surname> |
| 80 | + <affiliations> |
| 81 | + <institution><institution_name>Desert Research Institute, Reno, USA</institution_name></institution> |
| 82 | + </affiliations> |
| 83 | + </person_name> |
| 84 | + </contributors> |
| 85 | + <publication_date> |
| 86 | + <month>01</month> |
| 87 | + <day>20</day> |
| 88 | + <year>2025</year> |
| 89 | + </publication_date> |
| 90 | + <pages> |
| 91 | + <first_page>7178</first_page> |
| 92 | + </pages> |
| 93 | + <publisher_item> |
| 94 | + <identifier id_type="doi">10.21105/joss.07178</identifier> |
| 95 | + </publisher_item> |
| 96 | + <ai:program name="AccessIndicators"> |
| 97 | + <ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> |
| 98 | + <ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> |
| 99 | + <ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> |
| 100 | + </ai:program> |
| 101 | + <rel:program> |
| 102 | + <rel:related_item> |
| 103 | + <rel:description>Software archive</rel:description> |
| 104 | + <rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.14624093</rel:inter_work_relation> |
| 105 | + </rel:related_item> |
| 106 | + <rel:related_item> |
| 107 | + <rel:description>GitHub review issue</rel:description> |
| 108 | + <rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/7178</rel:inter_work_relation> |
| 109 | + </rel:related_item> |
| 110 | + </rel:program> |
| 111 | + <doi_data> |
| 112 | + <doi>10.21105/joss.07178</doi> |
| 113 | + <resource>https://joss.theoj.org/papers/10.21105/joss.07178</resource> |
| 114 | + <collection property="text-mining"> |
| 115 | + <item> |
| 116 | + <resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.07178.pdf</resource> |
| 117 | + </item> |
| 118 | + </collection> |
| 119 | + </doi_data> |
| 120 | + <citation_list> |
| 121 | + <citation key="Thornton2021"> |
| 122 | + <article_title>Gridded daily weather data for North America with comprehensive uncertainty quantification</article_title> |
| 123 | + <author>Thornton</author> |
| 124 | + <journal_title>Sci. Data</journal_title> |
| 125 | + <issue>1</issue> |
| 126 | + <volume>8</volume> |
| 127 | + <doi>10.1038/s41597-021-00973-0</doi> |
| 128 | + <cYear>2021</cYear> |
| 129 | + <unstructured_citation>Thornton, P. E., Shrestha, R., Thornton, M., Kao, S.-C., Wei, Y., & Wilson, B. E. (2021). Gridded daily weather data for North America with comprehensive uncertainty quantification. Sci. Data, 8(1), 190. https://doi.org/10.1038/s41597-021-00973-0</unstructured_citation> |
| 130 | + </citation> |
| 131 | + <citation key="Abatzoglou2013"> |
| 132 | + <article_title>Development of gridded surface meteorological data for ecological applications and modelling</article_title> |
| 133 | + <author>Abatzoglou</author> |
| 134 | + <journal_title>International Journal of Climatology</journal_title> |
| 135 | + <volume>33</volume> |
| 136 | + <doi>10.1002/joc.3413</doi> |
| 137 | + <cYear>2013</cYear> |
| 138 | + <unstructured_citation>Abatzoglou, J. T. (2013). Development of gridded surface meteorological data for ecological applications and modelling. International Journal of Climatology, 33, 121–131. https://doi.org/10.1002/joc.3413</unstructured_citation> |
| 139 | + </citation> |
| 140 | + <citation key="Blankenau2020"> |
| 141 | + <article_title>An evaluation of gridded weather data sets for the purpose of estimating reference evapotranspiration in the United States</article_title> |
| 142 | + <author>Blankenau</author> |
| 143 | + <journal_title>Agric. Water Manag.</journal_title> |
| 144 | + <issue>106376</issue> |
| 145 | + <volume>242</volume> |
| 146 | + <doi>10.1016/j.agwat.2020.106376</doi> |
| 147 | + <cYear>2020</cYear> |
| 148 | + <unstructured_citation>Blankenau, P. A., Kilic, A., & Allen, R. (2020). An evaluation of gridded weather data sets for the purpose of estimating reference evapotranspiration in the United States. Agric. Water Manag., 242(106376), 106376. https://doi.org/10.1016/j.agwat.2020.106376</unstructured_citation> |
| 149 | + </citation> |
| 150 | + <citation key="Melton2021"> |
| 151 | + <article_title>OpenET: Filling a critical data gap in water management for the western United States</article_title> |
| 152 | + <author>Melton</author> |
| 153 | + <journal_title>JAWRA Journal of the American Water Resources Association</journal_title> |
| 154 | + <doi>10.1111/1752-1688.12956</doi> |
| 155 | + <issn>1093-474X</issn> |
| 156 | + <cYear>2021</cYear> |
| 157 | + <unstructured_citation>Melton, F., Huntington, J., Grimm, R., Herring, J., Hall, M., Rollison, D., Erickson, T., Allen, R., Anderson, M., Fisher, J. B., Kilic, A., Senay, G. B., Volk, J., Hain, C., Johnson, L., Ruhoff, A., Blankenau, P., Bromley, M., Carrara, W., … Anderson, R. G. (2021). OpenET: Filling a critical data gap in water management for the western United States. JAWRA Journal of the American Water Resources Association. https://doi.org/10.1111/1752-1688.12956</unstructured_citation> |
| 158 | + </citation> |
| 159 | + <citation key="allen2005"> |
| 160 | + <volume_title>The ASCE Standardized Reference Evapotranspiration Equation</volume_title> |
| 161 | + <author>Allen</author> |
| 162 | + <doi>10.1061/9780784408056</doi> |
| 163 | + <cYear>2005</cYear> |
| 164 | + <unstructured_citation>Allen, R. G., Walter, I. A., Elliott, R. L., Howell, T. A., Itenfisu, D., Jensen, M. E., & Snyder, R. L. (2005). The ASCE Standardized Reference Evapotranspiration Equation. American Society of Civil Engineers. https://doi.org/10.1061/9780784408056</unstructured_citation> |
| 165 | + </citation> |
| 166 | + <citation key="MuozSabater2021"> |
| 167 | + <article_title>ERA5-Land: A state-of-the-art global reanalysis dataset for land applications</article_title> |
| 168 | + <author>Muñoz-Sabater</author> |
| 169 | + <journal_title>Earth System Science Data</journal_title> |
| 170 | + <issue>9</issue> |
| 171 | + <volume>13</volume> |
| 172 | + <doi>10.5194/essd-13-4349-2021</doi> |
| 173 | + <issn>1866-3516</issn> |
| 174 | + <cYear>2021</cYear> |
| 175 | + <unstructured_citation>Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, E., Buontempo, C., & Thépaut, J.-N. (2021). ERA5-Land: A state-of-the-art global reanalysis dataset for land applications. Earth System Science Data, 13(9), 4349–4383. https://doi.org/10.5194/essd-13-4349-2021</unstructured_citation> |
| 176 | + </citation> |
| 177 | + <citation key="Hart2009"> |
| 178 | + <article_title>Daily reference evapotranspiration for California using satellite imagery and weather station measurement interpolation</article_title> |
| 179 | + <author>Hart</author> |
| 180 | + <journal_title>Civil Engineering and Environmental Systems</journal_title> |
| 181 | + <issue>1</issue> |
| 182 | + <volume>26</volume> |
| 183 | + <doi>10.1080/10286600802003500</doi> |
| 184 | + <issn>1029-0249</issn> |
| 185 | + <cYear>2009</cYear> |
| 186 | + <unstructured_citation>Hart, Q. J., Brugnach, M., Temesgen, B., Rueda, C., Ustin, S. L., & Frame, K. (2009). Daily reference evapotranspiration for California using satellite imagery and weather station measurement interpolation. Civil Engineering and Environmental Systems, 26(1), 19–33. https://doi.org/10.1080/10286600802003500</unstructured_citation> |
| 187 | + </citation> |
| 188 | + <citation key="DePondeca2011"> |
| 189 | + <article_title>The real-time mesoscale analysis at NOAA’s national centers for environmental prediction: Current status and development</article_title> |
| 190 | + <author>De Pondeca</author> |
| 191 | + <journal_title>Weather and Forecasting</journal_title> |
| 192 | + <issue>5</issue> |
| 193 | + <volume>26</volume> |
| 194 | + <doi>10.1175/waf-d-10-05037.1</doi> |
| 195 | + <issn>1520-0434</issn> |
| 196 | + <cYear>2011</cYear> |
| 197 | + <unstructured_citation>De Pondeca, M. S. F. V., Manikin, G. S., DiMego, G., Benjamin, S. G., Parrish, D. F., Purser, R. J., Wu, W.-S., Horel, J. D., Myrick, D. T., Lin, Y., Aune, R. M., Keyser, D., Colman, B., Mann, G., & Vavra, J. (2011). The real-time mesoscale analysis at NOAA’s national centers for environmental prediction: Current status and development. Weather and Forecasting, 26(5), 593–612. https://doi.org/10.1175/waf-d-10-05037.1</unstructured_citation> |
| 198 | + </citation> |
| 199 | + <citation key="Mitchell2004"> |
| 200 | + <article_title>The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system</article_title> |
| 201 | + <author>Mitchell</author> |
| 202 | + <journal_title>Journal of Geophysical Research: Atmospheres</journal_title> |
| 203 | + <issue>D7</issue> |
| 204 | + <volume>109</volume> |
| 205 | + <doi>10.1029/2003jd003823</doi> |
| 206 | + <issn>0148-0227</issn> |
| 207 | + <cYear>2004</cYear> |
| 208 | + <unstructured_citation>Mitchell, K. E., Lohmann, D., Houser, P. R., Wood, E. F., Schaake, J. C., Robock, A., Cosgrove, B. A., Sheffield, J., Duan, Q., Luo, L., Higgins, R. W., Pinker, R. T., Tarpley, J. D., Lettenmaier, D. P., Marshall, C. H., Entin, J. K., Pan, M., Shi, W., Koren, V., … Bailey, A. A. (2004). The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. Journal of Geophysical Research: Atmospheres, 109(D7). https://doi.org/10.1029/2003jd003823</unstructured_citation> |
| 209 | + </citation> |
| 210 | + <citation key="Volk2024"> |
| 211 | + <article_title>Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications</article_title> |
| 212 | + <author>Volk</author> |
| 213 | + <journal_title>Nature Water</journal_title> |
| 214 | + <issue>2</issue> |
| 215 | + <volume>2</volume> |
| 216 | + <doi>10.1038/s44221-023-00181-7</doi> |
| 217 | + <issn>2731-6084</issn> |
| 218 | + <cYear>2024</cYear> |
| 219 | + <unstructured_citation>Volk, J. M., Huntington, J. L., Melton, F. S., Allen, R., Anderson, M., Fisher, J. B., Kilic, A., Ruhoff, A., Senay, G. B., Minor, B., Morton, C., Ott, T., Johnson, L., Comini de Andrade, B., Carrara, W., Doherty, C. T., Dunkerly, C., Friedrichs, M., Guzman, A., … Yang, Y. (2024). Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications. Nature Water, 2(2), 193–205. https://doi.org/10.1038/s44221-023-00181-7</unstructured_citation> |
| 220 | + </citation> |
| 221 | + <citation key="Rasmussen2023"> |
| 222 | + <article_title>CONUS404: The NCAR–USGS 4-km long-term regional hydroclimate reanalysis over the CONUS</article_title> |
| 223 | + <author>Rasmussen</author> |
| 224 | + <journal_title>Bulletin of the American Meteorological Society</journal_title> |
| 225 | + <volume>104</volume> |
| 226 | + <doi>10.1175/BAMS-D-21-0326.1</doi> |
| 227 | + <issn>0003-0007</issn> |
| 228 | + <cYear>2023</cYear> |
| 229 | + <unstructured_citation>Rasmussen, R. M., Chen, F., Liu, C. H., Ikeda, K., Prein, A., Kim, J., Schneider, T., Dai, A., Gochis, D., Dugger, A., Zhang, Y., Jaye, A., Dudhia, J., He, C., Harrold, M., Xue, L., Chen, S., Newman, A., Dougherty, E., … Miguez-Macho, G. (2023). CONUS404: The NCAR–USGS 4-km long-term regional hydroclimate reanalysis over the CONUS. Bulletin of the American Meteorological Society, 104, E1382–E1408. https://doi.org/10.1175/BAMS-D-21-0326.1</unstructured_citation> |
| 230 | + </citation> |
| 231 | + </citation_list> |
| 232 | + </journal_article> |
| 233 | + </journal> |
| 234 | + </body> |
| 235 | +</doi_batch> |
0 commit comments