Diurnal cycle of precipitation over the British Isles in a 0.44° WRF multiphysics regional climate ensemble over the period 1990–1995

Mooney, Priscilla A.; Mulligan, F. J.; Broderick, Ciaran

doi:10.1007/s00382-016-3026-6

Cited by 14 publications

(10 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, the earlier simulated peak in the daytime precipitation is a common issue in regional climate modelling (e.g. Nikulin et al 2012;Pohl et al, 2014;Mooney et al, 2016Mooney et al, , 2017. Similar to the GPM observations, WRF-CTL does not show any clear propagation mode by the second mode and the large variation is limited in some small areas (its variance is 18.36 %), although the PC score of the second mode is lagged by approximately π/4 (not shown).…”

Section: Eof Analysissupporting

confidence: 53%

Influences of Lake Malawi on the spatial and diurnal variability of local precipitation

Koseki

Mooney

2019

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. We investigate how the intensity and spatial distribution of precipitation vary around Lake Malawi on a diurnal timescale, which can be valuable information for water resource management in tropical south-eastern African nations. Using a state-of-the-art satellite product and regional atmospheric model, the well-defined diurnal cycle is detected around Lake Malawi with harmonic and principle component analyses: the precipitation is intense during midnight to morning over Lake Malawi and the precipitation peaks in the daytime over the surrounding area. This diurnal cycle in the precipitation around the lake is associated with the lake–land breeze circulation. Comparisons between the benchmark simulation and an idealized simulation in which Lake Malawi is removed reveal that the diurnal variations in precipitation are substantially amplified by the presence of Lake Malawi. This is most evident over the lake and surrounding coastal regions. Lake Malawi also enhances the lake–land breeze circulation; the nocturnal lakeward land breeze generates surface convergence effectively and precipitation intensifies over the lake. Conversely, the daytime landward lake breeze generates the intense divergence over the lake and precipitation is strongly depressed over the lake. The lake–land breeze and the background vapour enriched by Lake Malawi drive primarily a diurnal variation in the surface moisture flux divergence/convergence over the lake and surrounding area which contributes to the diurnal cycle of precipitation in this region.

show abstract

Section: Eof Analysissupporting

confidence: 53%

Influences of Lake Malawi on the spatial and diurnal variability of local precipitation

Koseki

Mooney

2019

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Arakawa 2004;McFarlane 2011;Sun and Bi 2019). Spatial characteristics are usually Fuqing Zhang: Deceased 19 July 2019. linked with horizontal resolution in numerical models; as a result, model simulations of the diurnal cycles of precipitation are significantly influenced by the horizontal resolution and individual CU (Mooney et al 2016;Sugimoto and Takahashi 2016;Walther et al 2013;Yuan et al 2013;Zhang and Chen 2016). Therefore, the diurnal cycle of precipitation provides an excellent perspective to evaluate model physics in weather forecast and climate modeling with different horizontal resolutions (e.g.…”

Section: Introductionmentioning

confidence: 99%

Simulation of summer precipitation diurnal cycles over the Tibetan Plateau at the gray-zone grid spacing for cumulus parameterization

Chen

et al. 2020

Clim Dyn

View full text Add to dashboard Cite

The Tibetan Plateau (TP) is often referred to as the "water tower of Asia" or the "Third Pole". It remains a challenge for most global and regional models to realistically simulate precipitation, especially its diurnal cycles, over the TP. This study focuses on evaluating the summer (June-August) precipitation diurnal cycles over the TP simulated by the Weather Research and Forecasting (WRF) model. The horizontal resolution used in this study is 9 km, which is within the gray-zone grid spacing that a cumulus parameterization scheme (CU) may or may not be used. We conducted WRF simulations with different cumulus schemes (CU experiments) and a simulation without CU (No_CU experiment). The selected CUs include the Grell-3D Ensemble (Grell), New Simplified Arakawa-Schubert (NSAS), and Multiscale Kain-Fritsch (MSKF). These simulations are compared with both the in-situ observations and satellite products. Results show that the scale-aware MSKF outperforms the other CUs in simulating precipitation in terms of both the mean intensity and diurnal cycles. In addition, the peak time of precipitation intensity is better captured by all the CU experiments than by the No_CU experiment. However, all the CU experiments tend to overestimate the mean precipitation and simulate an earlier peak of precipitation frequency when compared to observations. The frequencies and initiation timings for short-duration (1-3 h) and long-duration (> 6 h) precipitation events are well captured by the No_CU experiment, while these features are poorly reproduced by the CU experiments. The results demonstrate simulation without a CU outperforms those with a CU at the gray-zone spatial resolution in regard to the precipitation diurnal cycles.

show abstract

“…Recently, Weather Research and Forecasting (WRF) model has been applied as an RCM for research and operational purposes in many parts of the world, for example in Africa (Diaz et al., 2015), Europe (Banks and Baldasano, 2016), North America (Burakowski et al., 2016), and Asia (Cannon et al., 2017). Previous studies showed that the performance of WRF model is influenced by the selection of physical parameter schemes including, microphysics (Gao et al., 2017), radiation (Mooney et al., 2016), planetary boundary layer (Kim et al., 2015), cumulus (Mugume et al., 2017), and land surface model (Jain et al., 2017). Other model input such as initial boundary condition (Yang and Duan, 2016), land use data (Cheng et al., 2013), and domain size and resolution (Zeyaeyan et al., 2017) also affect the performance of WRF model.…”

Section: Introductionmentioning

confidence: 99%

Impacts of land surface model and land use data on WRF model simulations of rainfall and temperature over Lake Tana Basin, Ethiopia

Teklay

Dile

Asfaw

et al. 2019

Heliyon

View full text Add to dashboard Cite

The Weather Research and Forecasting (WRF) model is one of the regional climate models for dynamically downscaling climate variables at finer spatial and temporal scales. The objective of this study was to evaluate the performance of WRF model for simulating temperature and rainfall over Lake Tana basin in Ethiopia. The WRF model was configured for six experimental setups using three land surface models (LSMs): Noah, RUC and TD; and two land use datasets: USGS and updated New Land Use (NLU). The performances of WRF configurations were assessed by comparing simulated and observed data from March to August 2015. The result showed that temperature and rainfall simulations were sensitive to LSM and land use data choice. The combination of NLU with RUC and TD produced very small cold bias (0.27 °C) and warm bias (0.20 °C) for 2m maximum temperature (Tmax) and 2m minimum temperature (Tmin), respectively. WRF model with RUC and NLU captured well the observed spatial and temporal variability of Tmax, while TD and NLU for Tmin. Moreover, rainfall simulation was better with NLU; especially NLU and Noah configuration produced the smallest mean bias (2.39 mm/day) and root mean square error (6.6 mm/day). All the WRF experiments overestimated light and heavy rainfall events. Overall, findings showed that the application of updated land use data substantially improved the WRF model performance in simulating temperature and rainfall. The study would provide valuable support for identifying suitable LSM and land use data that can accurately predict the climate variables in the Blue Nile basin.

show abstract

Diurnal cycle of precipitation over the British Isles in a 0.44° WRF multiphysics regional climate ensemble over the period 1990–1995

Cited by 14 publications

References 62 publications

Influences of Lake Malawi on the spatial and diurnal variability of local precipitation

Influences of Lake Malawi on the spatial and diurnal variability of local precipitation

Simulation of summer precipitation diurnal cycles over the Tibetan Plateau at the gray-zone grid spacing for cumulus parameterization

Impacts of land surface model and land use data on WRF model simulations of rainfall and temperature over Lake Tana Basin, Ethiopia

Contact Info

Product

Resources

About