Improvements to Drought Estimation Through Assimilation of Remotely-sensed Vegetation Data in the Noah-MP Land-surface model

    flowchart
    W[2018AGUFM.H43G2526M]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (2)"]
    W== author ==>LA
    W== affil ==>LI
    click LA "#linked-authors"
    click LI "#linked-institutions"
Graph neighborhood for 'Improvements to Drought Estimation Through Assimilation of Remotely-sensed Vegetation Data in the Noah-MP Land-surface model'. Click aggregate nodes to navigate.
ADS bibcode
2018AGUFM.H43G2526M
year
2018
Listed Authors
Mocko, D. M.
Kumar, S.
Peters-Lidard, C. D.
Wang, S.
Listed Institutions
Science Applications International Corporation Washington DC, Washington, DC, United States
SAIC, Greenbelt, MD, United States
NASA GSFC, Greenbelt, MD, United States
Goddard Space Flight Center, Greenbelt, MD, United States

Linked Authors [?]

Linked Institutions