scholarly journals A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Aleksandar Sekulić ◽  
Milan Kilibarda ◽  
Dragutin Protić ◽  
Branislav Bajat
Keyword(s):  
High Resolution ◽  
Random Forest ◽  
Sea Level ◽  
Spatial Interpolation ◽  
Total Precipitation ◽  
Coarse Scale ◽  
Sea Level Pressure ◽  
Level Pressure ◽  
Maximum Minimum

AbstractWe produced the first daily gridded meteorological dataset at a 1-km spatial resolution across Serbia for 2000–2019, named MeteoSerbia1km. The dataset consists of five daily variables: maximum, minimum and mean temperature, mean sea-level pressure, and total precipitation. In addition to daily summaries, we produced monthly and annual summaries, and daily, monthly, and annual long-term means. Daily gridded data were interpolated using the Random Forest Spatial Interpolation methodology, based on using the nearest observations and distances to them as spatial covariates, together with environmental covariates to make a random forest model. The accuracy of the MeteoSerbia1km daily dataset was assessed using nested 5-fold leave-location-out cross-validation. All temperature variables and sea-level pressure showed high accuracy, although accuracy was lower for total precipitation, due to the discontinuity in its spatial distribution. MeteoSerbia1km was also compared with the E-OBS dataset with a coarser resolution: both datasets showed similar coarse-scale patterns for all daily meteorological variables, except for total precipitation. As a result of its high resolution, MeteoSerbia1km is suitable for further environmental analyses.

scholarly journals A European daily high-resolution observational gridded data set of sea level pressure

2011 ◽  
Vol 116 (D11) ◽  
Author(s):  
E. J. M. van den Besselaar ◽  
M. R. Haylock ◽  
G. van der Schrier ◽  
A. M. G. Klein Tank
Keyword(s):  
High Resolution ◽  
Sea Level ◽  
Gridded Data ◽  
Data Set ◽  
Sea Level Pressure ◽  
Level Pressure

Climatological Characteristics of Heavy Rainfall in Northern Pakistan and Atmospheric Blocking over Western Russia

2016 ◽  
Vol 29 (21) ◽  
pp. 7743-7754 ◽  
Author(s):  
Tomohito J. Yamada ◽  
Daiki Takeuchi ◽  
M. A. Farukh ◽  
Yoshikazu Kitano
Keyword(s):  
Sea Level ◽  
Heavy Rainfall ◽  
Principal Component ◽  
Heavy Precipitation ◽  
Boreal Summer ◽  
Northern Pakistan ◽  
Atmospheric Blocking ◽  
Sea Level Pressure ◽  
Level Pressure

Abstract Pakistan and northwestern India have frequently experienced severe heavy rainfall events during the boreal summer over the last 50 years including an event in late July and early August 2010 due to a sequence of monsoon surges. This study identified five dominant atmospheric patterns by applying principal component analysis and k-means clustering to a long-term sea level pressure dataset from 1979 to 2014. Two of these five dominant atmospheric patterns corresponded with a high frequency of the persistent atmospheric blocking index and positive sea level pressure over western Russia as well as an adjacent meridional trough ahead of northern Pakistan. In these two groups, a negative sea surface temperature anomaly was apparent over the equatorial mid- to eastern Pacific Ocean. The heavy precipitation periods with high persistent blocking frequency in western Russia as in the 2010 heat wave tended to have 1.2 times larger precipitation intensity compared to the whole of the heavy precipitation periods during the 36 years.

scholarly journals Reconstruction of high resolution atmospheric fields for Northern Europe using analog-upscaling

2012 ◽  
Vol 8 (5) ◽  
pp. 1681-1703 ◽  
Author(s):  
F. Schenk ◽  
E. Zorita
Keyword(s):  
High Resolution ◽  
Sea Level ◽  
Climate Model ◽  
Regional Climate ◽  
Low Frequency ◽  
Climate Simulation ◽  
Northern Europe ◽  
Sea Level Pressure ◽  
Level Pressure ◽  
Realistic Situation

Abstract. The analog method (AM) has found application to reconstruct gridded climate fields from the information provided by proxy data and climate model simulations. Here, we test the skill of different setups of the AM, in a controlled but realistic situation, by analysing several statistical properties of reconstructed daily high-resolution atmospheric fields for Northern Europe for a 50-yr period. In this application, station observations of sea-level pressure and air temperature are combined with atmospheric fields from a 50-yr high-resolution regional climate simulation. This reconstruction aims at providing homogeneous and physically consistent atmospheric fields with daily resolution suitable to drive high resolution ocean and ecosystem models. Different settings of the AM are evaluated in this study for the period 1958–2007 to estimate the robustness of the reconstruction and its ability to replicate high and low-frequency variability, realistic probability distributions and extremes of different meteorological variables. It is shown that the AM can realistically reconstruct variables with a strong physical link to daily sea-level pressure on both a daily and monthly scale. However, to reconstruct low-frequency decadal and longer temperature variations, additional monthly mean station temperature as predictor is required. Our results suggest that the AM is a suitable upscaling tool to predict daily fields taken from regional climate simulations based on sparse historical station data.

scholarly journals Decadal variability and trends of the Benguela upwelling system as simulated in a high-resolution ocean simulation

Ocean Science ◽  
2015 ◽  
Vol 11 (3) ◽  
pp. 483-502 ◽  
Author(s):  
N. Tim ◽  
E. Zorita ◽  
B. Hünicke
Keyword(s):  
Statistical Analysis ◽  
High Resolution ◽  
Pressure Gradient ◽  
Sea Level ◽  
Wind Stress ◽  
Large Scale ◽  
Sea Level Pressure ◽  
Level Pressure ◽  
Benguela Upwelling ◽  
Atmospheric Variables

Abstract. Detecting the atmospheric drivers of the Benguela upwelling systems is essential to understand its present variability and its past and future changes. We present a statistical analysis of a high-resolution (0.1°) ocean-only simulation driven by observed atmospheric fields over the last 60 years with the aim of identifying the large-scale atmospheric drivers of upwelling variability and trends. The simulation is found to reproduce well the seasonal cycle of upwelling intensity, with a maximum in the June–August season in North Benguela and in the December–February season in South Benguela. The statistical analysis of the interannual variability of upwelling focuses on its relationship to atmospheric variables (sea level pressure, 10 m wind, wind stress). The relationship between upwelling and the atmospheric variables differ somewhat in the two regions, but generally the correlation patterns reflect the common atmospheric pattern favouring upwelling: southerly wind/wind stress, strong subtropical anticyclone, and an ocean–land sea level pressure gradient. In addition, the statistical link between upwelling and large-scale climate variability modes was analysed. The El Niño–Southern Oscillation and the Antarctic Oscillation exert some influence on austral summer upwelling velocities in South Benguela. The decadal evolution and the long-term trends of simulated upwelling and of ocean-minus-land air pressure gradient do not agree with Bakun's hypothesis that anthropogenic climate change should generally intensify coastal upwelling.

scholarly journals Influence of Long-Term Changes in the Large-Scale Sea Level Pressure Field on the Wind Regime and the Wind Stress Curl in the Black Sea

2021 ◽  
Vol 37 (2) ◽  
Author(s):  
I. G. Shokurova ◽  
A. A. Kubryakov ◽  
M. V. Shokurov ◽  
◽  
◽  
...  
Keyword(s):  
Sea Level ◽  
Black Sea ◽  
Wind Stress ◽  
Mediterranean Region ◽  
The Black Sea ◽  
Wind Regime ◽  
Wind Stress Curl ◽  
Sea Level Pressure ◽  
Level Pressure

Purpose. The paper is aimed at studying the relationship between the wind regime and the wind stress curl in the Black Sea, on the one hand, and the long-term changes in the sea level pressure fields in winter months, on the other. Methods and Results. The data on wind speed and sea level pressure in January – February from the NCEP/NСAR reanalysis for 1948–2018 are used. Based on the 6-hour data, the synoptic conditions accompanied by high and low values of the wind stress curl in the sea were determined. The synoptic situations in which a vast anticyclone is located north and northeast of the sea, and the area of low pressure – to the southwest of the sea in the Mediterranean region, are accompanied by the northeast and east winds, and by the cyclonic curl predominance. On the contrary, passing of the cyclones to the north of the sea and increase of pressure to the southwest are followed by the westerly and southwesterly winds, and by the anticyclonic curl predominance. Extremely high monthly mean values of the cyclonic curl were observed in those years, when the area occupied by the Siberian anticyclone increased and expanded westward, so that the Black Sea was on the southwestern periphery of its spur. Extremely low values of the anticyclonic curl were noted when the Azores anticyclone area expanded to the Mediterranean region. The wind stress curl changes on the multidecadal scales have shown its relation to the global changes in the field of the sea level pressure and the sign of the pressure anomalies at the low latitudes. Conclusions. The opposite sign of the surface pressure anomalies taking place to the northeast and southwest of the sea is accompanied by the highest values of the wind stress curl.

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