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Title: QA/QC-ed BCI meteorological drivers

QA/QC-ed datasets of Temperature, Solar Radiation, Relative Humidity, Rainfall, Barometric Pressure, Wind Speed, and Wind Direction for the period of 2003-2016.
Authors:
 [1] ;  [2] ;  [3] ;  [4] ;  [3] ;  [1] ;  [3] ;  [1]
  1. LBNL
  2. Smithsonian Tropical Research Institution
  3. Berkeley Lab
  4. Lawrence Berkeley National Lab
Publication Date:
Report Number(s):
NGT0062
DOE Contract Number:
AC02-05CH11231
Product Type:
Dataset
Research Org(s):
Next-Generation Ecosystem Experiments Tropics; STRI; LBNL
Sponsoring Org:
Department of Energy, Office of Science, Office of Biological and Environmental Research
Subject:
54 ENVIRONMENTAL SCIENCES
Related Identifiers:
OSTI Identifier:
1423307

Faybishenko, Boris, Paton, Steve, Powell, Thomas, Knox, Ryan, Pastorello, Gilberto, Varadharajan, Charuleka, Christianson, Danielle, and Agarwal, Deb. QA/QC-ed BCI meteorological drivers. United States: N. p., Web. doi:10.15486/ngt/1423307.
Faybishenko, Boris, Paton, Steve, Powell, Thomas, Knox, Ryan, Pastorello, Gilberto, Varadharajan, Charuleka, Christianson, Danielle, & Agarwal, Deb. QA/QC-ed BCI meteorological drivers. United States. doi:10.15486/ngt/1423307.
Faybishenko, Boris, Paton, Steve, Powell, Thomas, Knox, Ryan, Pastorello, Gilberto, Varadharajan, Charuleka, Christianson, Danielle, and Agarwal, Deb. 2018. "QA/QC-ed BCI meteorological drivers". United States. doi:10.15486/ngt/1423307. https://www.osti.gov/servlets/purl/1423307.
@misc{osti_1423307,
title = {QA/QC-ed BCI meteorological drivers},
author = {Faybishenko, Boris and Paton, Steve and Powell, Thomas and Knox, Ryan and Pastorello, Gilberto and Varadharajan, Charuleka and Christianson, Danielle and Agarwal, Deb},
abstractNote = {QA/QC-ed datasets of Temperature, Solar Radiation, Relative Humidity, Rainfall, Barometric Pressure, Wind Speed, and Wind Direction for the period of 2003-2016.},
doi = {10.15486/ngt/1423307},
year = {2018},
month = {1} }
  1. The Next-Generation Ecosystem Experiments–Tropics, or NGEE-Tropics, is a ten-year, multi-institutional project aiming to fill the critical gaps in knowledge of tropical forest-climate system interactions. The overarching goal of NGEE-Tropics is to develop a predictive understanding of how tropical forest carbon balance and climate system feedbacks will respond to changing environmental drivers over the 21st Century. NGEE-Tropics’ grand deliverable is a representative, process-rich tropical forest ecosystem model, extending from bedrock to the top of the vegetative canopy-atmosphere interface, in which the evolution and feedbacks of tropical ecosystems in a changing climate can be modeled at the scale and resolution of amore » next-generation Earth System Model grid cell (~10 x 10 km2 grid size). « less
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