Zobrazeno 1 - 10
of 3 385
pro vyhledávání: '"J M. Chen"'
Publikováno v:
Earth System Science Data, Vol 16, Pp 3993-4019 (2024)
Accurate and timely global evapotranspiration (ET) data are crucial for agriculture, water resource management, and drought forecasting. Although numerous satellite-based ET products are available, few offer near-real-time data. For instance, product
Externí odkaz:
https://doaj.org/article/b8951e4b4256449a81e4297711bb729b
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 6337-6363 (2024)
Modeling and predicting changes in the function and structure of the terrestrial biosphere and its feedbacks to climate change strongly depends on our ability to accurately represent interactions of the carbon and water cycles and energy exchange. Ho
Externí odkaz:
https://doaj.org/article/f724bd46a746425e8d818d4c53f9bc78
Publikováno v:
Earth System Science Data, Vol 16, Pp 1283-1300 (2024)
Diagnostic terrestrial biosphere models (TBMs) forced by remote sensing observations have been a principal tool for providing benchmarks on global gross primary productivity (GPP) and evapotranspiration (ET). However, these models often estimate GPP
Externí odkaz:
https://doaj.org/article/5822b6d5de8c44ca96e4802990f78aec
Publikováno v:
Biogeosciences, Vol 21, Pp 625-639 (2024)
Forest net primary productivity (NPP), representing the net carbon gain from the atmosphere, varies significantly with forest age. Reliable forest NPP–age relationships are essential for forest carbon cycle modeling and prediction. These relationsh
Externí odkaz:
https://doaj.org/article/45bec4c7caf74ea3a83f90ffae5ed583
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 275, Iss 2, p 41 (2024)
We present the statistical results of GeV spectral breaks of bright gamma-ray flat-spectrum radio quasars (FSRQs) in the energy range of 0.1–10 GeV based on New Pass 8 data of the Large Area Telescope on board Fermi Gamma-Ray Space Telescope. We ha
Externí odkaz:
https://doaj.org/article/6a82d90b1cb64001ae48f530fec029e9
Autor:
J. M. Chen, R. Wang, Y. Liu, L. He, H. Croft, X. Luo, H. Wang, N. G. Smith, T. F. Keenan, I. C. Prentice, Y. Zhang, W. Ju, N. Dong
Publikováno v:
Earth System Science Data, Vol 14, Pp 4077-4093 (2022)
The maximum rate of Rubisco carboxylation (Vcmax) determines leaf photosynthetic capacity and is a key parameter for estimating the terrestrial carbon cycle, but its spatial information is lacking, hindering global ecological research. Here, we conve
Externí odkaz:
https://doaj.org/article/6a7237c0f4a14a389de56f457070d5e0
Publikováno v:
Earth System Science Data, Vol 14, Pp 3013-3037 (2022)
A global gridded net ecosystem exchange (NEE) of CO2 dataset is vital in global and regional carbon cycle studies. Top-down atmospheric inversion is one of the major methods to estimate the global NEE; however, the existing global NEE datasets genera
Externí odkaz:
https://doaj.org/article/d5e0cd9709a84335abaff208a0596dbb
Autor:
Jun Geng, Qian Zhang, Feng Qiu, J. M. Chen, Yongguang Zhang, Weiliang Fan, Lili Tu, Jianwei Huang, Shaoteng Wang, Lichen Xu, Jinchao Li
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 10, Pp 1433-1451 (2021)
Comparison and validation of canopy reflectance (CR) models are two important steps to ensure their reliability. Pure forest plantations are an ideal type of forest for validating CR models because of their simple background and the low variance in t
Externí odkaz:
https://doaj.org/article/7bee06b4ce9742018ee9723f77fec492
Autor:
F. Jiang, H. Wang, J. M. Chen, W. Ju, X. Tian, S. Feng, G. Li, Z. Chen, S. Zhang, X. Lu, J. Liu, J. Wang, W. He, M. Wu
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 1963-1985 (2021)
Satellite retrievals of the column-averaged dry air mole fractions of CO2 (XCO2) could help to improve carbon flux estimation due to their good spatial coverage. In this study, in order to assimilate the GOSAT (Greenhouse Gases Observing Satellite) X
Externí odkaz:
https://doaj.org/article/e1b3106ac0244fb59ccb18a6752f17a0
Publikováno v:
Earth System Science Data, Vol 12, Pp 2725-2746 (2020)
Satellite-based models have been widely used to simulate vegetation gross primary production (GPP) at the site, regional, or global scales in recent years. However, accurately reproducing the interannual variations in GPP remains a major challenge, a
Externí odkaz:
https://doaj.org/article/81fd615930e746a48036fc443193114a