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Title |
Numerical Weather Forecasts at Kilometer Scale in the French Alps: Evaluation and Application for Snowpack Modeling |
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2016 |
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Journal of Hydrometeorology |
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17 |
Issue |
10 |
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2591-2614 |
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411 |
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1525-7541, 1525-755X |
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yes |
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8287 |
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Author |
M. Belke-Brea, F. Domine, M. Barrere, G. Picard, L. Arnaud |
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Title |
Impact of Shrubs on Winter Surface Albedo and Snow Specific Surface Area at a Low Arctic Site: In Situ Measurements and Simulations |
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Journal |
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Year |
2020 |
Publication |
Journal of Climate |
Abbreviated Journal |
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Volume |
33 |
Issue |
2 |
Pages |
597-609 |
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1042 |
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0894-8755, 1520-0442 |
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yes |
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7972 |
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Author |
Mathieu Barrere, Florent Domine, Maria Belke-Brea, Denis Sarrazin |
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Year |
2018 |
Publication |
Journal of Climate |
Abbreviated Journal |
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Volume |
31 |
Issue |
23 |
Pages |
9507-9518 |
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1042 |
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0894-8755 |
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0894-8755 |
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yes |
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7512 |
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Wang, Y., Ding, M., van Wessem, J. M., Schlosser, E., Altnau, S., van den Broeke, M. R., et al. |
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Title |
A comparison of Antarctic Ice Sheet surface mass balance from atmospheric climate models and in situ observations. |
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Journal Article |
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Year |
2016 |
Publication |
Journal of climate |
Abbreviated Journal |
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Volume |
29 |
Issue |
14 |
Pages |
5317-5337 |
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411 |
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0894-8755 |
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yes |
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Call Number |
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Serial |
6484 |
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Author |
Pak Gyundo, Park Young-Hyang, Vivier Frederic, Kwon Young-Oh, Chang Kyung-Il, |
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Title |
Regime-Dependent Nonstationary Relationship between the East Asian Winter Monsoon and North Pacific Oscillation
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Journal Article |
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Year |
2014 |
Publication |
Journal of Climate |
Abbreviated Journal |
0894-8755 |
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Volume |
27 |
Issue |
21 |
Pages |
8185-8204 |
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Keywords |
Climate variability, Interannual variability, Interdecadal variability, North Pacific Oscillation, |
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1061 |
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0894-8755 |
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yes |
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Call Number |
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Serial |
5987 |
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Title |
Detecting Regime Transitions of the Nocturnal and Polar Near-Surface Temperature Inversion |
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Journal |
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Year |
2020 |
Publication |
Journal of the atmospheric sciences |
Abbreviated Journal |
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Volume |
77 |
Issue |
8 |
Pages |
2921-2940 |
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Abstract |
Abstract Many natural systems undergo critical transitions, i.e., sudden shifts from one dynamical regime to another. In the climate system, the atmospheric boundary layer can experience sudden transitions between fully turbulent states and quiescent, quasi-laminar states. Such rapid transitions are observed in polar regions or at night when the atmospheric boundary layer is stably stratified, and they have important consequences in the strength of mixing with the higher levels of the atmosphere. To analyze the stable boundary layer, many approaches rely on the identification of regimes that are commonly denoted as weakly and very stable regimes. Detecting transitions between the regimes is crucial for modeling purposes. In this work a combination of methods from dynamical systems and statistical modeling is applied to study these regime transitions and to develop an early warning signal that can be applied to nonstationary field data. The presented metric aims to detect nearing transitions by statistically quantifying the deviation from the dynamics expected when the system is close to a stable equilibrium. An idealized stochastic model of near-surface inversions is used to evaluate the potential of the metric as an indicator of regime transitions. In this stochastic system, small-scale perturbations can be amplified due to the nonlinearity, resulting in transitions between two possible equilibria of the temperature inversion. The simulations show such noise-induced regime transitions, successfully identified by the indicator. The indicator is further applied to time series data from nocturnal and polar meteorological measurements. |
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1013 |
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ISSN |
0022-4928, 1520-0469 |
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yes |
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Call Number |
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Serial |
8151 |
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Title |
Gravity Wave Excitation during the Coastal Transition of an Extreme Katabatic Flow in Antarctica |
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Year |
2020 |
Publication |
Journal of the Atmospheric Sciences |
Abbreviated Journal |
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Volume |
77 |
Issue |
4 |
Pages |
1295-1312 |
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0 |
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0022-4928, 1520-0469 |
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Serial |
7996 |
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Author |
Carsten Abraham, Adam H. Monahan |
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Title |
Climatological Features of the Weakly and Very Stably Stratified Nocturnal Boundary Layers. Part II: Regime Occupation and Transition Statistics and the Influence of External Drivers |
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Journal |
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Year |
2019 |
Publication |
Journal of the Atmospheric Sciences |
Abbreviated Journal |
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Volume |
76 |
Issue |
11 |
Pages |
3485-3504 |
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Programme |
1013 |
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ISSN |
0022-4928, 1520-0469 |
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yes |
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Call Number |
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Serial |
8154 |
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Author |
Carsten Abraham, Adam H. Monahan |
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Title |
Climatological Features of the Weakly and Very Stably Stratified Nocturnal Boundary Layers. Part III: The Structure of Meteorological State Variables in Persistent Regime Nights and across Regime Transitions |
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Year |
2019 |
Publication |
Journal of the Atmospheric Sciences |
Abbreviated Journal |
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Volume |
76 |
Issue |
11 |
Pages |
3505-3527 |
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Abstract The evolution of profiles of meteorological state variables during nights with and without transitions in the nocturnal stably stratified boundary layer (SBL) between weakly stable (wSBL) and very stable (vSBL) regimes, as classified by a hidden Markov model, is examined at nine different tower sites. During wSBL-to-vSBL transitions, inversion strengths increase, near-surface winds decelerate, and atmospheric layers vertically decouple. Turbulence kinetic energy (TKE) steadily decreases before wSBL-to-vSBL transitions and fluctuations of the vertical velocity become weak. In contrast to land-based sites where wSBL-to-vSBL transitions are normally caused by surface cooling, at sea-based stations the transitions generally are initiated by advection of warm air aloft. The vSBL-to-wSBL transition is characterized by a fast breakdown of the inversion strength, acceleration of wind profiles, and a restored vertical coupling of the atmospheric flow. TKE recovers on time scales of minutes first in atmospheric levels between 50 and 100 m. Profiles of state variables for the two different regimes during very persistent nights (nights without SBL regime transitions) are clearly separated and similar to structures during nights with transitions away from transition times. During very persistent nights the wind conditions stay relatively steady. Similarly, the temperature is steady after an initial adjustment time at sunset (wSBL) or shortly after sunset (vSBL). Even though nights with and without transitions are a common feature of the SBL, there is no clear indicator in Reynolds-averaged mean variables that distinguishes very persistent nights from nights with transitions. |
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1013 |
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0022-4928, 1520-0469 |
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yes |
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Call Number |
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Serial |
8153 |
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Author |
Carsten Abraham, Adam H. Monahan |
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Title |
Climatological Features of the Weakly and Very Stably Stratified Nocturnal Boundary Layers. Part I: State Variables Containing Information about Regime Occupation |
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Journal |
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Year |
2019 |
Publication |
Journal of the Atmospheric Sciences |
Abbreviated Journal |
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Volume |
76 |
Issue |
11 |
Pages |
3455-3484 |
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Abstract |
Abstract The atmospheric nocturnal stable boundary layer (SBL) can be classified into two distinct regimes: the weakly SBL (wSBL) with sustained turbulence and the very SBL (vSBL) with weak and intermittent turbulence. A hidden Markov model (HMM) analysis of the three-dimensional state-variable space of Reynolds-averaged mean dry static stability, mean wind speed, and wind speed shear is used to classify the SBL into these two regimes at nine different tower sites, in order to study long-term regime occupation and transition statistics. Both Reynolds-averaged mean data and measures of turbulence intensity (eddy variances) are separated in a physically meaningful way. In particular, fluctuations of the vertical wind component are found to be much smaller in the vSBL than in the wSBL. HMM analyses of these data using more than two SBL regimes do not result in robust results across measurement locations. To identify which meteorological state variables carry the information about regime occupation, the HMM analyses are repeated using different state-variable subsets. Reynolds-averaged measures of turbulence intensity (such as turbulence kinetic energy) at any observed altitude hold almost the same information as the original set, without adding any additional information. In contrast, both stratification and shear depend on surface information to capture regime transitions accurately. Use of information only in the bottom 10 m of the atmosphere is sufficient for HMM analyses to capture important information about regime occupation and transition statistics. It follows that the commonly measured 10-m wind speed is potentially a good indicator of regime occupation. |
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1013 |
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0022-4928, 1520-0469 |
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8155 |
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