Bruce A Wielicki
Biographic Data
| ID | 6696166 |
|---|---|
| NAME | Bruce A Wielicki |
| GIVEN NAMES | Bruce A |
| FAMILY NAME | Wielicki |
| SIGNATURE | WIELICKI B A |
| AFFILIATIONS | Langley Research Center |
| ORCID | 0000-0002-4976-0110 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context
Probabilistic thinking can often be unintuitive. This is the case even for simple problems, let alone the more complex ones arising in climate modelling, where disparate information sources need to be combined. The physical models, the natural variability of systems, the measurement errors and their dependence upon the observational period length should be modelled together in order to understand the intricacies of the underlying processes. We us…
An Overview of Terra Mission Results Related to the Carbon Cycle
Launched in December 1999 as the Earth Observing System's flagship observatory, the Terra Mission (formerly EOS AM-1) carries a suite of five instruments that collect comprehensive global measurements of earth's atmosphere, cryosphere, lands, and oceans. One of the mission's science goals is the collection of data that will enable a better quantitative understanding of earth's carbon cycle through direct observation of atmospheric constituents an…
Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context
Probabilistic thinking can often be unintuitive. This is the case even for simple problems, let alone the more complex ones arising in climate modelling, where disparate information sources need to be combined. The physical models, the natural variability of systems, the measurement errors and their dependence upon the observational period length should be modelled together in order to understand the intricacies of the underlying processes. We us…
An Overview of Terra Mission Results Related to the Carbon Cycle
Launched in December 1999 as the Earth Observing System's flagship observatory, the Terra Mission (formerly EOS AM-1) carries a suite of five instruments that collect comprehensive global measurements of earth's atmosphere, cryosphere, lands, and oceans. One of the mission's science goals is the collection of data that will enable a better quantitative understanding of earth's carbon cycle through direct observation of atmospheric constituents an…
Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context
Probabilistic thinking can often be unintuitive. This is the case even for simple problems, let alone the more complex ones arising in climate modelling, where disparate information sources need to be combined. The physical models, the natural variability of systems, the measurement errors and their dependence upon the observational period length should be modelled together in order to understand the intricacies of the underlying processes. We us…
Atmospheric and Environmental Gas Dynamics (2 works) · Geography (2 works) · Artificial Intelligence (1 works) · Atmospheric chemistry and aerosols (1 works) · Bayesian inference (1 works) · Bayesian Modeling and Causal Inference (1 works) · Bayesian network (1 works) · Bayesian probability (1 works) · Carbon cycle (1 works) · Computer Science (1 works)