NACP MsTMIP: Global 0.5-degree Model Outputs in Standard Format, Version 1.0

Huntzinger, D. N.; Schwalm, Christopher R.; Wei, Yaxing; Cook, R. B.; Michalak, A. M.; Schaefer, K.; Jacobson, Andrew R.; Arain,; Ciais, Philippe; Fisher, Joshua B.; Hayes, Danny; Huang, Maoyi; Huang, S.; Ito, Akihiko; Lei, Hui; Lü, Chaoqun; Maignan, Fabienne; Mao, Jiafu; Parazoo, Nicholas C.; Peng, Changhui; Poulter, Benjamin; Ricciuto, D. M.; Tian, Hanqin; Shi, Xiaoying; Wang, W.; Zeng, Ning; Zhao, Fanyu; Zhu, Qiuan; Yang, Jae-Hyun; Tao, B.

doi:10.3334/ornldaac/1225

Cited by 10 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The prior and IS-constrained NBE show a seasonal amplitude of 0.11 and 0.19 PgC month −1 , respectively, whereas OCO-2 resulted in larger seasonal amplitude of 0.34 PgC month −1 . The magnitude of the NEE seasonality estimated by assimilating OCO-2 data is noticeably larger than our current understanding of NEE in this region (represented by the prior NEE used in the model, and ensemble mean NEE from the Multiscale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP;, Fisher, Sikka, Huntzinger, Schwalm, Liu, Wei, et al, 2016Huntzinger et al, 2013Huntzinger et al, , 2018 with a seasonal amplitude of 0.16 PgC month −1 ; see top panel of Figure 4).…”

Section: Monthly Nbe Over South Asiamentioning

confidence: 72%

OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO₂ Fluxes Over South Asia

et al. 2022

View full text Add to dashboard Cite

show abstract

Section: Monthly Nbe Over South Asiamentioning

confidence: 72%

OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO₂ Fluxes Over South Asia

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Two lower spatial resolution datasets are available through the Oak Ridge National Laboratory’s Distributed Active Archive for Biogeochemical Dynamics biomass data collection ( Oak Ridge National Laboratory, Distributed Active Archive Center for Biogeochemical Dynamics, 2023 ). The first represents biomass (among other parameters) at monthly and yearly time steps between 1900 and 2010 at a global 0.5-degree spatial resolution ( Huntzinger et al, 2018 ). The second provides forest biomass (and other parameters) at 5-year intervals between 1950 and 2015 at a near-global (70-degrees S to 70-degrees N, 180-degrees W, 180-degrees E) scale at a 1 × 1 degree spatial resolution ( Hengeveld et al, 2015 ).…”

Section: Materials and Equipmentmentioning

confidence: 99%

“…The Above Ground Live Woody Biomass Density (AGB) dataset was created by and continues to be maintained by Global Forest 2023). The first represents biomass (among other parameters) at monthly and yearly time steps between 1900 and 2010 at a global 0.5-degree spatial resolution (Huntzinger et al, 2018). The second provides forest biomass (and other parameters) at 5-year intervals between 1950 and 2015 at a near-global (70-degrees S to 70-degrees N, 180-degrees W, 180-degrees E) scale at a 1 × 1 degree spatial resolution (Hengeveld et al, 2015).…”

Section: Environmental Parametersmentioning

confidence: 99%

Demonstrating environmental impacts on the sound structure of languages: challenges and solutions

Maddieson

Benedict

2023

Front. Psychol.

View full text Add to dashboard Cite

Recent research has suggested that there are significant associations between aspects of the phonological properties of languages and the locations in which they are spoken. In this paper we outline a strategy for assembling maximally reliable and well documented climatic and environmental data to place in juxtaposition with carefully curated linguistic information on both language location and structure. Problems with temperature records are specifically highlighted as an illustration of the use of the platform and considerations when selecting environmental data for analytic use. Preliminary analyses suggest that certain previously proposed language-environment relationships are statistically valid, but that these may be better placed in a broader framework of language types.

show abstract

“…Forcing data were based on the CRU-NCEP product with sub-monthly scale variability from the NCEP reanalysis merged with the CRU monthly fields (Wei et al, 2014a,b). The Phase I results from 15 LSMs are available online (Huntzinger et. al., 2016).…”

Section: D5 Mstmip -Christopher R Schwalmmentioning

confidence: 99%

International Land Model Benchmarking (ILAMB) Workshop Report, Technical Report DOE/SC-0186

Hoffman

Koven²,

Kappel-Aleks

et al. 2016

View full text Add to dashboard Cite

To address the identified next generation Benchmarking Challenges and Priorities, certain Enabling Capabilities are needed. New model development focused on improving process representations is required, and additional model variables should be saved for comparison with data. A new Land Model Testbed (LMT) capability employing community benchmarks and supporting UQ frameworks would enable more rapid model development and verification, particularly for major ESM frameworks like ACME and CESM.Additional field measurements and monitoring activities, as well as perturbation experiments and lab studies, could provide valuable observational data for constraining models. High priority measurement needs for developing benchmarks and improving ESMs include the following: › Long-term energy, carbon, and water flux measurements at AmeriFlux and FLUXNET sites with standardized instrumentation and methods, and additional frequent or continuous ancillary in situ measurements of soil moisture, sap flow, tree height and diameter, litterfall, and soil nutrients › High latitude and tundra soil core measurements of carbon and nutrient distributions, including isotopes and ice/water content, and observations of vegetation growth and expansion of woody vegetation › Characterization of tropical ecosystem traits and canopy structure and chemistry; observations of tropical ecosystem responses to drought, increased temperatures, and elevated atmospheric CO 2 ; and measurements of nutrient cycling and hydrology in tropical forests, focusing on land-atmosphere interactions › Remote sensing algorithms and processing infrastructure for generating data products useful for large-scale ecosystem characterization and monitoring, scaling up in situ measurements, and informing future measurement site selection.Improved observational data archives (e.g., DOE Atmospheric Radiation Measurement (ARM) Climate Research Facility and Environmental System Science (ESS) archives, NASA Distributed Active Archive Centers (DAACs)) and repositories (e.g., Obs4MIPs) are needed that offer data discovery, server-side analysis, and advanced distribution capabilities. Finally, new computational resources and cyber infrastructure will be required to realize the promise of new benchmarking capabilities. This infrastructure needs to offer a balance between pure compute capacity (high core count) and throughput (e.g., cache size, memory size and bandwidth, and input/output bandwidth) to support in situ analysis and benchmarking, growing observational data sets, and multi-model comparisons. Conclusions and Next StepsThe 2016 ILAMB Workshop was successful in bringing together the international community to identify scientific challenges and priorities for future research. The workshop demonstrated broad interest on the part of a vibrant community of scientists spanning many disciplines that are committed to reducing barriers for information flow between the measurement and modeling communities.To effectively address the individual processes and cross-cutting themes discus...

show abstract

NACP MsTMIP: Global 0.5-degree Model Outputs in Standard Format, Version 1.0

Cited by 10 publications

References 0 publications

OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO₂ Fluxes Over South Asia

OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO₂ Fluxes Over South Asia

Demonstrating environmental impacts on the sound structure of languages: challenges and solutions

International Land Model Benchmarking (ILAMB) Workshop Report, Technical Report DOE/SC-0186

Contact Info

Product

Resources

About

NACP MsTMIP: Global 0.5-degree Model Outputs in Standard Format, Version 1.0

Cited by 10 publications

References 0 publications

OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia

OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia

Demonstrating environmental impacts on the sound structure of languages: challenges and solutions

International Land Model Benchmarking (ILAMB) Workshop Report, Technical Report DOE/SC-0186

Contact Info

Product

Resources

About

OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO₂ Fluxes Over South Asia

OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO₂ Fluxes Over South Asia