Investigating the Seasonal and Diurnal Cycles of Ocean Vector Winds Near the Philippines Using RapidScat and CCMP

Lang, Timothy J.

doi:10.1002/2017jd027516

Cited by 7 publications

(6 citation statements)

References 51 publications

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“…In summary, ERA-Interim and RapidScat paint a very similar picture of the diurnal cycle of surface wind in the MC. Each product captures a robust sea-breeze circulation in near coastal waters consistent with previous studies (Houze et al 1981, Birch et al 2015, Lang et al 2017. The similarities between the two in the mean state, and agreement with well established theory, suggest that ERA-Interim may be trustworthy as a reliable representation of historical wind patterns in this area…”

Section: Rapidscat Provides Was Collecting Data From Onboard the Intesupporting

confidence: 84%

“…The orbital RapidScat data were binned to 0.25 • by 0.25 • spatial resolution and 3hourly temporal resolution at synoptic times, and then constructed a composite diurnal cycle for the nearly two full boreal summers sampled by the satellite. While this provides a useful view of the mean-state diurnal cycle in the SCS (Lang et al 2017), it will not be sufficient for studying intraseasonal variability since only two seasons are present. Thus, the ERA-Interim re-forecasts available at synoptic times will be employed, and show that it displays patterns very similar to RapidScat in the composite diurnal cycle.…”

Section: Rapidscat Provides Was Collecting Data From Onboard the Intementioning

confidence: 99%

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Intraseasonal Variability of the Diurnal Cycle of Precipitation in the Philippines

Natoli

Maloney

2019

Journal of the Atmospheric Sciences

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Precipitation in the region surrounding the South China Sea over land and coastal waters exhibits a strong diurnal cycle associated with a land–sea temperature contrast that drives a sea-breeze circulation. The boreal summer intraseasonal oscillation (BSISO) is an important modulator of diurnal precipitation patterns, an understanding of which is a primary goal of the field campaign Propagation of Intraseasonal Tropical Oscillations (PISTON). Using 21 years of CMORPH precipitation for Luzon Island in the northern Philippines, it is shown that the diurnal cycle amplitude is generally maximized over land roughly 1 week before the arrival of the broader oceanic convective envelope associated with the BSISO. A strong diurnal cycle in coastal waters is observed in the transition from the inactive to active phase, associated with offshore propagation of the diurnal cycle. The diurnal cycle amplitude is in phase with daily mean precipitation over Mindanao but is nearly out of phase over Luzon. The BSISO influence on the diurnal cycle on the eastern side of topography is nearly opposite to that on the western side. Using wind, moisture, and radiation products from the ERA5 reanalysis, it is proposed that the enhanced diurnal cycle west of the mountains during BSISO suppressed phases is related to increased insolation and weaker prevailing onshore winds that promote a stronger sea-breeze circulation when compared with the May–October mean state. Offshore propagation is suppressed until ambient midlevel moisture increases over the surrounding oceans during the transition to the active BSISO phase. In BSISO enhanced phases, strong low-level winds and increased cloudiness suppress the sea-breeze circulation.

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Section: Rapidscat Provides Was Collecting Data From Onboard the Intesupporting

confidence: 84%

Section: Rapidscat Provides Was Collecting Data From Onboard the Intementioning

confidence: 99%

Intraseasonal Variability of the Diurnal Cycle of Precipitation in the Philippines

Natoli

Maloney

2019

Journal of the Atmospheric Sciences

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“…The wind rapidly changes its direction to be perpendicular to the coastline (Figure 11). This result is consistent with the studies in southwestern Sumatra Island (Arakawa and Kitoh, 2005), in the sea near Borneo and Sulawesi Island (Lang, 2017), in the western Maritime Continent (Lu et al ., 2019), and in the eight selected transects of the Indonesian seas (Short et al ., 2019). The land–sea breezes typically propagate over 400 km offshore in the Maritime Continent (Short et al ., 2019).…”

Section: Diurnal Variationsupporting

confidence: 93%

“…(2019) show the surface winds in the northern Molucca Sea using the cross‐calibrated multiplatform (CCMP) data. Lang (2017) investigates the winds in the seas around the Philippine Islands using the RapidScat and CCMP data. The monsoon winds in the lower atmosphere over the Indonesian seas are examined in terms of large‐scale atmospheric circulation using atmospheric reanalysis data (e.g., Juneng and Tangang, 2005; Chang et al ., 2005a; Jiang et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

Seasonal distribution and variability of surface winds in the Indonesian seas using scatterometer and reanalysis data

Alifdini

Shimada

Wirasatriya

2021

Intl Journal of Climatology

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The distribution and variability of surface winds in the seas and straits in the Maritime Continent, or the Indonesian seas, are investigated using scatterometer wind measurements and reanalysis wind data. This study focuses on the detailed climatology of surface winds in the Indonesian seas and has significant implications for a better understanding of regional climate, meteorological disasters, and offshore wind resource. The monsoon winds predominantly blow over the seas along the routes formed by the coastlines of the large islands and the chains of the small islands. The wind speeds are persistently strong along these routes, and the major direction of the variability in winds is well aligned with these routes. The wind jets are formed in the central part of the routes. The interisland gaps and channels form wind jets of various scales. The Australian winter monsoon is stronger and more persistent than the East Asian winter monsoon in the Indonesian seas. The onset of each monsoon differs by approximately 40 days between the east and west of the Indonesian seas. The amplitudes and spatial extents of diurnally varying winds dominate along the northern coasts of Java Island and the small islands to the east, along the northwest and northeast coasts of Borneo, along the coast of southern Sulawesi Island, and to the southwest of Papua, and vanish along the centre lines of the monsoon routes. Sea areas with a large amplitude of diurnally varying wind are much the same throughout the year. The amplitude of diurnally varying wind has an annual maximum in September in the southern Indonesian seas, possibly in correspondence with the annual maximum of the temperature difference between land and sea.

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“…Satellite‐based scatterometers, such as QuickSCAT/SeaWinds (Fore et al, ), Oceansat‐2 Scatterometer (Jaruwatanadilok et al, ), Advanced Scatterometer or ASCAT (Figa‐Saldana et al, , ), and RapidScat (Lang, ; Perkovic‐Martin et al, ; Rodriguez, ), provide accurate surface vector winds over the Earth's oceans. In a rain‐free environment, scatterometer wind retrieval is feasible due to scattering from capillary waves, generated by the wind (Ulaby et al, ).…”

Section: Introductionmentioning

confidence: 99%

Combining ASCAT and NEXRAD Retrieval Analysis to Explore Wind Features of Mesoscale Oceanic Systems

2018

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Oceanic mesoscale systems often produce heavy rainfall and can cause significant hazards in coastal regions and aviation. Surface features that are important in the evolution of these systems were examined combining the Advanced Scatterometer (ASCAT) on board the polar‐orbiting meteorological satellite series Metop‐A and ‐B and ground instrumentation; that is, Next Generation Weather Radars, soundings, buoys. Two case studies were analyzed, over the coastal United States, by reprojecting ASCAT wind and ground radar precipitation and wind retrievals over a common grid domain. ASCAT retrievals were in agreement with buoy and sounding measurements at distances greater than 30 km from the precipitation region. Enhanced uncertainty in ASCAT wind retrievals in heavy precipitation was represented by greater wind direction variability and increases in wind speed. Nevertheless, ASCAT was able to identify regions of convergence and divergence within the systems, as well as outflow boundaries associated with downdrafts, which agreed with wind fields retrieved from the single‐Doppler analysis. Quality flags reported by ASCAT were also examined against polarimetric radar retrievals. Thresholds for rain rate and median volume diameter (D0), corresponding to the boundary between flagged and unflagged ASCAT data, were variable among different cases. However, analysis of ice water path and liquid water path revealed that unflagged ASCAT data rarely exceeded approximately 0.5 kg/m2 in either parameter.

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Investigating the Seasonal and Diurnal Cycles of Ocean Vector Winds Near the Philippines Using RapidScat and CCMP

Cited by 7 publications

References 51 publications

Intraseasonal Variability of the Diurnal Cycle of Precipitation in the Philippines

Intraseasonal Variability of the Diurnal Cycle of Precipitation in the Philippines

Seasonal distribution and variability of surface winds in the Indonesian seas using scatterometer and reanalysis data

Combining ASCAT and NEXRAD Retrieval Analysis to Explore Wind Features of Mesoscale Oceanic Systems

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