Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Amy Braverman"'
Publikováno v:
Environmental Data Science, Vol 1 (2022)
Simulations of future climate contain variability arising from a number of sources, including internal stochasticity and external forcings. However, to the best of our abilities climate models and the true observed climate depend on the same underlyi
Externí odkaz:
https://doaj.org/article/dd7db527fe5c47a6a51e8f9aed30fcbe
Autor:
Daniel Zilber, David R. Thompson, Matthias Katzfuss, Vijay Natraj, Jonathan Hobbs, Amy Braverman
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2183 (2022)
Remote Visible/Shortwave Infrared (VSWIR) imaging spectroscopy is a powerful tool for measuring the composition of Earth’s surface over wide areas. This compositional information is captured by the spectral surface reflectance, where distinct shape
Externí odkaz:
https://doaj.org/article/c60ce25bceea4490b6ff9b06d2486816
Sensitivity and uncertainty quantification for the ECOSTRESS evapotranspiration algorithm – DisALEXI
Autor:
Kerry Cawse-Nicholson, Amy Braverman, Emily L. Kang, Miaoqi Li, Margaret Johnson, Gregory Halverson, Martha Anderson, Christopher Hain, Michael Gunson, Simon Hook
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 89, Iss , Pp 102088- (2020)
Evapotranspiration (ET) is a measure of plant water use that is utilized regionally for drought detection and monitoring, and locally for agricultural water resource management. Understanding the uncertainty associated with this measurement is vital
Externí odkaz:
https://doaj.org/article/0bfb5bf855954a6a8c1ccaf0884e9442
Autor:
Otto Lamminpää, Jonathan Hobbs, Jenný Brynjarsdóttir, Marko Laine, Amy Braverman, Hannakaisa Lindqvist, Johanna Tamminen
Publikováno v:
Remote Sensing, Vol 11, Iss 17, p 2061 (2019)
Markov Chain Monte Carlo (MCMC) is a powerful and promising tool for assessing the uncertainties in the Orbiting Carbon Observatory 2 (OCO-2) satellite’s carbon dioxide measurements. Previous research in comparing MCMC and Optimal Estimation (OE) f
Externí odkaz:
https://doaj.org/article/380d1c251a334a44a001f39e026bbec0
Publikováno v:
Remote Sensing, Vol 9, Iss 2, p 142 (2017)
Global maps of total-column carbon dioxide (CO2) mole fraction (in units of parts per million) are important tools for climate research since they provide insights into the spatial distribution of carbon intake and emissions as well as their seasonal
Externí odkaz:
https://doaj.org/article/4a7eae317fa646048301c6dea3b57da1
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification. 9:1064-1093
This article sets forth a practical methodology for uncertainty quantification of physical state estimates derived from remote sensing observing systems. Remote sensing instruments observe parts of...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c94836a25eaf05f9ab772c16888c9b7
https://doi.org/10.1137/19m1304283
https://doi.org/10.1137/19m1304283
Publikováno v:
Technometrics. 61:322-340
Observing system simulation experiments (OSSEs) have been widely used as a rigorous and cost-effective way to guide development of new observing systems, and to evaluate the performance of new data assimilation algorithms. Nature runs (NRs), which ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd9ff11b13788b087b091695c94f50f7
https://doi.org/10.1080/00401706.2018.1524791
https://doi.org/10.1080/00401706.2018.1524791
Autor:
Shawn P. Serbin, Jouni Susiluoto, Margaret C. Johnson, David R. Thompson, Robert L. Herman, Alexey N. Shiklomonov, D. S. Connelly, Jay E. Fahlen, Gregory S. Okin, P. G. Brodrick, Michael Turmon, Jonathan Hobbs, Amy Braverman, Natalie M. Mahowald, Benjamin Poulter, Nimrod Carmon, Niklas Bohn, Robert O. Green
Publikováno v:
Proceedings, Imaging Spectrometry XXIV: Applications, Sensors, and Processing
Remote imaging spectroscopy's role in Earth science will grow in the coming decade as a series of globe-spanning spectroscopy missions launch from NASA, ESA, and other agencies. The nature of remote imaging spectroscopy will change, advancing from sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be717f0c44a1d8742ee2a36250e0d65d
https://doi.org/10.1117/12.2567732
https://doi.org/10.1117/12.2567732
Autor:
Robert O. Green, Jouni Susiluoto, Margaret C. Johnson, Dar A. Roberts, David R. Thompson, Nimrod Carmon, Philip G. Brodrick, Michael L. Eastwood, Niklas Bohn, Jay E. Fahlen, Amy Braverman
Publikováno v:
Remote Sensing of Environment
Remote imaging spectroscopy, also known as hyperspectral imaging, uses Radiative Transfer Models (RTMs) to predict the measured radiance spectrum for a specific surface and atmospheric state. Discrepancies between RTM assumptions and physical reality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::789d9671fc811f5075155ffe2e902e52
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5006586
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5006586
Autor:
Amy Braverman, Joshua B. Fisher, Emily L. Kang, Ryan Pavlick, Florian M. Schwandner, Robert R. Bogue, David C. Pieri, David S. Schimel, Pulong Ma, Philip A. Townsend, Jennifer L. Lewicki, Kathryn J. Bormann, Thomas A. Youmans, Kerry Cawse-Nicholson, Antonio Ferraz, Caroline A. Famiglietti
Publikováno v:
Biogeosciences. 15:7403-7418
We present an exploratory study examining the use of airborne remote-sensing observations to detect ecological responses to elevated CO2 emissions from active volcanic systems. To evaluate these ecosystem responses, existing spectroscopic, thermal, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9885c2fc5ea76ff30a6b585db0360364
https://doi.org/10.5194/bg-15-7403-2018
https://doi.org/10.5194/bg-15-7403-2018