Earth System Model Simulations of Ameriflux sites using dynamic roots and dynamic leaf to root allocation Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.15485/2283421
This data package contains point-scale Earth System Model simulations run with DOE's E3SM Model. The package includes four sets of simulations, one set of simulations run in the default configuration, a second set of simulations run with the dynamic root module enabled, the third set with dynamic leaf to fine root allocation, and the fourth with the combination of dynamic roots and dynamic allocation. These simulations were run in point mode a Ameriflux sites, US-MMS, US-Moz, US-Syv, and US-NR1. These datasets can be used to assess the impact that dynamic roots have on Land Surface fluxes such as carbon and water. The simulations were run with atmospheric forcing from the Global Soil Wetness Project. We provide specifically here Gross Primary Production, Transpiration, relative root fraction per soil layer as well as Air Temperature, Precipitation and all the parameterizations used for the simulations. Our purpose for generating and analyzing these simulations was to assess the role that root dynamics and foraging for water has in the recovery timescale of ecosystems following climate perturbation. All data provided are in the "netcdf" format using standard CF-1 (Climate and Forecast) Convention. The data are all machine readable using various software platforms including Matlab, NCO, Panoply and R.
Related Topics
- Type
- dataset
- Language
- en
- Landing Page
- https://www.osti.gov/biblio/2283421
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391463470
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4391463470Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.15485/2283421Digital Object Identifier
- Title
-
Earth System Model Simulations of Ameriflux sites using dynamic roots and dynamic leaf to root allocationWork title
- Type
-
datasetOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Benjamin Ahlswede, Beth Drewniak, Miquel A. Gonzàlez‐Meler, Max BerkelhammerList of authors in order
- Landing page
-
https://www.osti.gov/biblio/2283421Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.osti.gov/biblio/2283421Direct OA link when available
- Concepts
-
Root (linguistics), Dynamic simulation, Dynamic simulation model, Ecology, Biology, Computer science, Simulation, Linguistics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4391463470 |
|---|---|
| doi | https://doi.org/10.15485/2283421 |
| ids.doi | https://doi.org/10.15485/2283421 |
| ids.openalex | https://openalex.org/W4391463470 |
| fwci | |
| type | dataset |
| title | Earth System Model Simulations of Ameriflux sites using dynamic roots and dynamic leaf to root allocation |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11247 |
| topics[0].field.id | https://openalex.org/fields/11 |
| topics[0].field.display_name | Agricultural and Biological Sciences |
| topics[0].score | 0.7685999870300293 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1110 |
| topics[0].subfield.display_name | Plant Science |
| topics[0].display_name | Plant nutrient uptake and metabolism |
| topics[1].id | https://openalex.org/T11978 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.7124999761581421 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2205 |
| topics[1].subfield.display_name | Civil and Structural Engineering |
| topics[1].display_name | Soil Mechanics and Vehicle Dynamics |
| topics[2].id | https://openalex.org/T12093 |
| topics[2].field.id | https://openalex.org/fields/11 |
| topics[2].field.display_name | Agricultural and Biological Sciences |
| topics[2].score | 0.6711000204086304 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1110 |
| topics[2].subfield.display_name | Plant Science |
| topics[2].display_name | Greenhouse Technology and Climate Control |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C171078966 |
| concepts[0].level | 2 |
| concepts[0].score | 0.5685938596725464 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q111029 |
| concepts[0].display_name | Root (linguistics) |
| concepts[1].id | https://openalex.org/C149808339 |
| concepts[1].level | 2 |
| concepts[1].score | 0.48795145750045776 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q5319019 |
| concepts[1].display_name | Dynamic simulation |
| concepts[2].id | https://openalex.org/C2910316109 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4708409309387207 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q5319019 |
| concepts[2].display_name | Dynamic simulation model |
| concepts[3].id | https://openalex.org/C18903297 |
| concepts[3].level | 1 |
| concepts[3].score | 0.32529759407043457 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[3].display_name | Ecology |
| concepts[4].id | https://openalex.org/C86803240 |
| concepts[4].level | 0 |
| concepts[4].score | 0.3098215162754059 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[4].display_name | Biology |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.22270295023918152 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C44154836 |
| concepts[6].level | 1 |
| concepts[6].score | 0.18321439623832703 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q45045 |
| concepts[6].display_name | Simulation |
| concepts[7].id | https://openalex.org/C41895202 |
| concepts[7].level | 1 |
| concepts[7].score | 0.0 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[7].display_name | Linguistics |
| concepts[8].id | https://openalex.org/C138885662 |
| concepts[8].level | 0 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[8].display_name | Philosophy |
| keywords[0].id | https://openalex.org/keywords/root |
| keywords[0].score | 0.5685938596725464 |
| keywords[0].display_name | Root (linguistics) |
| keywords[1].id | https://openalex.org/keywords/dynamic-simulation |
| keywords[1].score | 0.48795145750045776 |
| keywords[1].display_name | Dynamic simulation |
| keywords[2].id | https://openalex.org/keywords/dynamic-simulation-model |
| keywords[2].score | 0.4708409309387207 |
| keywords[2].display_name | Dynamic simulation model |
| keywords[3].id | https://openalex.org/keywords/ecology |
| keywords[3].score | 0.32529759407043457 |
| keywords[3].display_name | Ecology |
| keywords[4].id | https://openalex.org/keywords/biology |
| keywords[4].score | 0.3098215162754059 |
| keywords[4].display_name | Biology |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.22270295023918152 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/simulation |
| keywords[6].score | 0.18321439623832703 |
| keywords[6].display_name | Simulation |
| language | en |
| locations[0].id | pmh:oai:osti.gov:2283421 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402487 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) |
| locations[0].source.host_organization | https://openalex.org/I139351228 |
| locations[0].source.host_organization_name | Office of Scientific and Technical Information |
| locations[0].source.host_organization_lineage | https://openalex.org/I139351228 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | submittedVersion |
| locations[0].raw_type | |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://www.osti.gov/biblio/2283421 |
| locations[1].id | doi:10.15485/2283421 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S7407051151 |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOE Lawrence Berkeley National Laboratory (LBNL) Repository |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | dataset |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.15485/2283421 |
| indexed_in | datacite |
| authorships[0].author.id | https://openalex.org/A5038538867 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9888-7628 |
| authorships[0].author.display_name | Benjamin Ahlswede |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ahlswede, Benjamin |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5044829896 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-8193-6091 |
| authorships[1].author.display_name | Beth Drewniak |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Drewniak, Beth |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5015886462 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-5388-7969 |
| authorships[2].author.display_name | Miquel A. Gonzàlez‐Meler |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Gonzalez-Meler, Miquel |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5074005404 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-8924-716X |
| authorships[3].author.display_name | Max Berkelhammer |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Berkelhammer, Max |
| authorships[3].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.osti.gov/biblio/2283421 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Earth System Model Simulations of Ameriflux sites using dynamic roots and dynamic leaf to root allocation |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T11247 |
| primary_topic.field.id | https://openalex.org/fields/11 |
| primary_topic.field.display_name | Agricultural and Biological Sciences |
| primary_topic.score | 0.7685999870300293 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1110 |
| primary_topic.subfield.display_name | Plant Science |
| primary_topic.display_name | Plant nutrient uptake and metabolism |
| related_works | https://openalex.org/W2079219231, https://openalex.org/W3001077614, https://openalex.org/W2388188712, https://openalex.org/W2349032348, https://openalex.org/W2363416048, https://openalex.org/W2364794582, https://openalex.org/W2359209826, https://openalex.org/W1603427185, https://openalex.org/W2376050930, https://openalex.org/W1971852857 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:osti.gov:2283421 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402487 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) |
| best_oa_location.source.host_organization | https://openalex.org/I139351228 |
| best_oa_location.source.host_organization_name | Office of Scientific and Technical Information |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I139351228 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://www.osti.gov/biblio/2283421 |
| primary_location.id | pmh:oai:osti.gov:2283421 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402487 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) |
| primary_location.source.host_organization | https://openalex.org/I139351228 |
| primary_location.source.host_organization_name | Office of Scientific and Technical Information |
| primary_location.source.host_organization_lineage | https://openalex.org/I139351228 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | submittedVersion |
| primary_location.raw_type | |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://www.osti.gov/biblio/2283421 |
| publication_date | 2023-01-01 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 30, 71 |
| abstract_inverted_index.R. | 202 |
| abstract_inverted_index.We | 114 |
| abstract_inverted_index.as | 97, 128, 130 |
| abstract_inverted_index.be | 82 |
| abstract_inverted_index.in | 26, 68, 163, 176 |
| abstract_inverted_index.of | 19, 23, 33, 58, 167 |
| abstract_inverted_index.on | 92 |
| abstract_inverted_index.to | 48, 84, 151 |
| abstract_inverted_index.Air | 131 |
| abstract_inverted_index.All | 172 |
| abstract_inverted_index.Our | 142 |
| abstract_inverted_index.The | 14, 101, 187 |
| abstract_inverted_index.all | 135, 190 |
| abstract_inverted_index.and | 52, 61, 77, 99, 134, 146, 158, 184, 201 |
| abstract_inverted_index.are | 175, 189 |
| abstract_inverted_index.can | 81 |
| abstract_inverted_index.for | 139, 144, 160 |
| abstract_inverted_index.has | 162 |
| abstract_inverted_index.one | 21 |
| abstract_inverted_index.per | 125 |
| abstract_inverted_index.run | 9, 25, 35, 67, 104 |
| abstract_inverted_index.set | 22, 32, 44 |
| abstract_inverted_index.the | 27, 37, 42, 53, 56, 86, 109, 136, 140, 153, 164, 177 |
| abstract_inverted_index.was | 150 |
| abstract_inverted_index.CF-1 | 182 |
| abstract_inverted_index.E3SM | 12 |
| abstract_inverted_index.Land | 93 |
| abstract_inverted_index.NCO, | 199 |
| abstract_inverted_index.Soil | 111 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.data | 1, 173, 188 |
| abstract_inverted_index.fine | 49 |
| abstract_inverted_index.four | 17 |
| abstract_inverted_index.from | 108 |
| abstract_inverted_index.have | 91 |
| abstract_inverted_index.here | 117 |
| abstract_inverted_index.leaf | 47 |
| abstract_inverted_index.mode | 70 |
| abstract_inverted_index.role | 154 |
| abstract_inverted_index.root | 39, 50, 123, 156 |
| abstract_inverted_index.sets | 18 |
| abstract_inverted_index.soil | 126 |
| abstract_inverted_index.such | 96 |
| abstract_inverted_index.that | 88, 155 |
| abstract_inverted_index.used | 83, 138 |
| abstract_inverted_index.well | 129 |
| abstract_inverted_index.were | 66, 103 |
| abstract_inverted_index.with | 10, 36, 45, 55, 105 |
| abstract_inverted_index.DOE's | 11 |
| abstract_inverted_index.Earth | 5 |
| abstract_inverted_index.Gross | 118 |
| abstract_inverted_index.Model | 7 |
| abstract_inverted_index.These | 64, 79 |
| abstract_inverted_index.layer | 127 |
| abstract_inverted_index.point | 69 |
| abstract_inverted_index.roots | 60, 90 |
| abstract_inverted_index.these | 148 |
| abstract_inverted_index.third | 43 |
| abstract_inverted_index.using | 180, 193 |
| abstract_inverted_index.water | 161 |
| abstract_inverted_index.Global | 110 |
| abstract_inverted_index.Model. | 13 |
| abstract_inverted_index.System | 6 |
| abstract_inverted_index.assess | 85, 152 |
| abstract_inverted_index.carbon | 98 |
| abstract_inverted_index.fluxes | 95 |
| abstract_inverted_index.format | 179 |
| abstract_inverted_index.fourth | 54 |
| abstract_inverted_index.impact | 87 |
| abstract_inverted_index.module | 40 |
| abstract_inverted_index.second | 31 |
| abstract_inverted_index.sites, | 73 |
| abstract_inverted_index.water. | 100 |
| abstract_inverted_index.Matlab, | 198 |
| abstract_inverted_index.Panoply | 200 |
| abstract_inverted_index.Primary | 119 |
| abstract_inverted_index.Surface | 94 |
| abstract_inverted_index.US-MMS, | 74 |
| abstract_inverted_index.US-Moz, | 75 |
| abstract_inverted_index.US-NR1. | 78 |
| abstract_inverted_index.US-Syv, | 76 |
| abstract_inverted_index.Wetness | 112 |
| abstract_inverted_index.climate | 170 |
| abstract_inverted_index.default | 28 |
| abstract_inverted_index.dynamic | 38, 46, 59, 62, 89 |
| abstract_inverted_index.forcing | 107 |
| abstract_inverted_index.machine | 191 |
| abstract_inverted_index.package | 2, 15 |
| abstract_inverted_index.provide | 115 |
| abstract_inverted_index.purpose | 143 |
| abstract_inverted_index.various | 194 |
| abstract_inverted_index."netcdf" | 178 |
| abstract_inverted_index.(Climate | 183 |
| abstract_inverted_index.Project. | 113 |
| abstract_inverted_index.contains | 3 |
| abstract_inverted_index.datasets | 80 |
| abstract_inverted_index.dynamics | 157 |
| abstract_inverted_index.enabled, | 41 |
| abstract_inverted_index.foraging | 159 |
| abstract_inverted_index.fraction | 124 |
| abstract_inverted_index.includes | 16 |
| abstract_inverted_index.provided | 174 |
| abstract_inverted_index.readable | 192 |
| abstract_inverted_index.recovery | 165 |
| abstract_inverted_index.relative | 122 |
| abstract_inverted_index.software | 195 |
| abstract_inverted_index.standard | 181 |
| abstract_inverted_index.Ameriflux | 72 |
| abstract_inverted_index.Forecast) | 185 |
| abstract_inverted_index.analyzing | 147 |
| abstract_inverted_index.following | 169 |
| abstract_inverted_index.including | 197 |
| abstract_inverted_index.platforms | 196 |
| abstract_inverted_index.timescale | 166 |
| abstract_inverted_index.ecosystems | 168 |
| abstract_inverted_index.generating | 145 |
| abstract_inverted_index.Convention. | 186 |
| abstract_inverted_index.Production, | 120 |
| abstract_inverted_index.allocation, | 51 |
| abstract_inverted_index.allocation. | 63 |
| abstract_inverted_index.atmospheric | 106 |
| abstract_inverted_index.combination | 57 |
| abstract_inverted_index.point-scale | 4 |
| abstract_inverted_index.simulations | 8, 24, 34, 65, 102, 149 |
| abstract_inverted_index.Temperature, | 132 |
| abstract_inverted_index.simulations, | 20 |
| abstract_inverted_index.simulations. | 141 |
| abstract_inverted_index.specifically | 116 |
| abstract_inverted_index.Precipitation | 133 |
| abstract_inverted_index.perturbation. | 171 |
| abstract_inverted_index.Transpiration, | 121 |
| abstract_inverted_index.configuration, | 29 |
| abstract_inverted_index.parameterizations | 137 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile |