B. A. Forman
flowchart A[B. A. Forman] AC["Associated Concepts (25)"] AW["Authored Works (8)"] CA["Linked Co-Authors (10)"] CI["Linked Collaborating Institutions (7)"] A== dcterms:relation ==>AC AW== author ==>A AW== author ==>CA AW== affil ==>CI click AC "#associated-concepts" click AW "#authored-works" click CA "#co-authors" click CI "#collaborating-institutions" NI["add incoming edge"] NO["add outgoing edge"] NI-- ? -->A A-- ? -->NO click NI "#add-incoming-edge" click NO "#add-outgoing-edge" style NI stroke-width:2px,stroke-dasharray: 5 5 style NO stroke-width:2px,stroke-dasharray: 5 5
- ORCiD
- https://orcid.org/0000-0001-6410-9978
- OpenAlex ID
- https://openalex.org/A5077325118 (API record)
Associated Concepts [?]
- Physics
- Geography
- Geology
- Environmental science
- Meteorology
- Engineering
- Computer science
- Remote sensing
- Geomorphology
- Biology
- Snow
- Quantum mechanics
- Ecology
- Astronomy
- Optics
- Telecommunications
- Climatology
- Data assimilation
- Mathematics
- Oceanography
- Geotechnical engineering
- Aerospace engineering
- Microwave
- Satellite
- Cartography
Authored Works
sorted by decreasing year, and then by display-name
- High-resolution spatial and temporal snow distribution trends over CONUS (1990-2021)
- Comparison of Univariate Assimilation using GRACE / GRACE-FO Retrievals, GPS Surface Deformation, and Leaf Area Index Retrievals in Enhancing Land Surface Model Performance
- Towards Better Characterization of Terrestrial Water Storage in Land Surface Models via Multivariate Assimilation of GRACE/GRACE-FO, GPS-derived Surface Deformation, and Leaf Area Index
- Leveraging Adaptive Viewing to Improve the Efficacy of Space-Borne Retrievals for Terrestrial Hydrology Applications within an Observing System Simulation Experiment (OSSE).
- Improving Soil Moisture and Runoff Estimation across Irrigated Areas via SMAP Assimilation across South Asia
- Implementing SnowModel into the Land Information System Framework to Support High Resolution Modeling of Snow Heterogeneity
- High-resolution snow modeling and data assimilation techniques for the next generation of remotely sensed observations on a snow covered digital twin
- High performance computing for high-resolution snow modeling
Linked Co-Authors
- Alireza Moghaddasi
- Andrew J. Newman
- Augusto Getirana
- E. D. Gutmann
- Jawairia A. Ahmad
- Jessica D. Lundquist
- Kristi R. Arsenault
- Mahdi Navari
- Melissa L. Wrzesien
- Sujay V. Kumar
Linked Collaborating Institutions
- Colorado State University
- NASA Goddard Space Flight Center, Maryland
- National Center for Atmospheric Research, Colorado
- The Ohio State University
- University Corporation for Atmospheric Research, Colorado
- University of Maryland, College Park
- University of Washington, Seattle
Add Incoming Edge
Login via ORCiD to contribute.
Add Outgoing Edge
Login via ORCiD to contribute.