Results 161 to 170 of about 3,045 (214)
Strongly Coupled Data Assimilation for Paleoclimate Reconstruction Using Deep Learning‐Based Models
Abstract Coupled data assimilation (CDA) could be beneficial for paleoclimate reconstruction, but intermediate‐complexity climate models are often used. The deep learning (DL)‐based surrogate model that can realistically simulate the climate system provides alternative to CDA, so that CDA of multi‐timescale proxy data using DL‐based models is ...
Lili Lei +4 more
wiley +1 more source
Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa +4 more
wiley +1 more source
Abstract Accurate representation of closure relationships, such as subsurface storage‐discharge, is essential for hydrologic modeling at the hillslope scale, but remains challenging due to the nonlinear state‐dependent nature of soil hydraulic behavior.
Marcus N. Gomes Jr. +2 more
wiley +1 more source
Abstract Land surface models are crucial components within earth system models, simulating the exchanges of water, energy, carbon, and nitrogen between the land surface, atmosphere, and subsurface. One challenge is the large number of uncertain parameters in these models.
Mikael L. A. Kaandorp +5 more
wiley +1 more source
A Mixed Frequency BVAR for the Australian Economy*
A mixed frequency vector autoregression (MFVAR) model is proposed for nowcasting, forecasting and backcasting Australian macroeconomic indicators at monthly and quarterly frequencies. A novel augmented Minnesota prior for MFVAR models is also introduced.
Kelly Trinh, Jamie L. Cross
wiley +1 more source
Abstract Adopting a low‐emission diet and choosing low‐emission transportation modes are among the most effective strategies for mitigating one's individual impact on climate. However, interventions targeting these behaviors often fall short because they focus primarily on motivation, neglecting volitional processes. Guided by the Health Action Process
Dario Baretta +2 more
wiley +1 more source
Heterogeneity in Imperfect Inflation Expectations: Theory and Evidence from a Novel Survey
Abstract Using survey data from Germany, we study heterogeneity in how households form inflation expectations. We elicit (i) uncertainty in perceptions of current inflation and (ii) how persistent households perceive inflation to be. Combining these with standard survey questions on inflation, we infer laws of motion for expectations at the individual ...
ALISTAIR MACAULAY, JAMES MOBERLY
wiley +1 more source
ABSTRACT To determine whether elite collegiate athletes with a prior hamstring strain injury (HSI) display persistent deficits in hamstring muscle morphology and muscle‐tendon unit (MTU) mechanics during sprinting, and whether MRI‐informed, subject‐specific musculoskeletal models detect limb differences that scaled‐generic models overlook.
Scott Hulm +7 more
wiley +1 more source
Abstract We used the LOw‐Frequency ARray (LOFAR) to identify two new types of lightning discharges occurring along the tracks of earlier positive leaders. The first is a kind of intracloud dart leader that we call a “backward dart” whose behavior appears counterintuitive given the positive polarity of the channel, as they are negative dart leaders that
Bin Wu +8 more
wiley +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
On designing consistent extended Kalman filter
Journal of Systems Science and Complexity, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yanguang Jiang +3 more
openaire +1 more source

