V Grigorieva
Biographic Data
| ID | 3814784 |
|---|---|
| NAME | V Grigorieva |
| GIVEN NAMES | V |
| FAMILY NAME | Grigorieva |
| SIGNATURE | GRIGORIEVA V |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles
In climate science, observational gridded climate datasets that are based on in situ measurements serve as evidence for scientific claims and they are used to both calibrate and evaluate models. However, datasets only represent selected aspects of the real world, so when they are used for a specific purpose they can be a source of uncertainty. Here, we present a framework for understanding this uncertainty of observational datasets which distingu…
Effect of Cold on Involuntary Movements in Men With Different Levels of Physical Fitness in the Russian North
Cold is a common environmental factor for the population of the Russian North. The aim of the study was to assess the effect of cold stress on involuntary movements (tremor) in men with different levels of physical fitness. The paper presents a new method for calculation of quasiattractor parameters for estimation of biomechanical homeostasis in two dimensions. Biomechanical analysis according to quasiattractors parameters was realized as a numer…
No prominent works on this page.
Effect of Cold on Involuntary Movements in Men With Different Levels of Physical Fitness in the Russian North
Cold is a common environmental factor for the population of the Russian North. The aim of the study was to assess the effect of cold stress on involuntary movements (tremor) in men with different levels of physical fitness. The paper presents a new method for calculation of quasiattractor parameters for estimation of biomechanical homeostasis in two dimensions. Biomechanical analysis according to quasiattractors parameters was realized as a numer…
Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles
In climate science, observational gridded climate datasets that are based on in situ measurements serve as evidence for scientific claims and they are used to both calibrate and evaluate models. However, datasets only represent selected aspects of the real world, so when they are used for a specific purpose they can be a source of uncertainty. Here, we present a framework for understanding this uncertainty of observational datasets which distingu…
Mathematics (2 works) · Statistics (2 works) · Attractor (1 works) · Biofield Effects and Biophysics (1 works) · Citation (1 works) · Climate change (1 works) · Climate variability and models (1 works) · Computer Science (1 works) · Demography (1 works) · Economics (1 works)