Diurnal variations of the global tropical precipitation are documented by using two complementary Tropical Rainfall Measuring Mission (TRMM) datasets (3B42 and 3G68) for 1998–2006 in an attempt to provide a unified view of the diurnal cycle and a metric for evaluating numerical model performance. The 3B42 data have better spatial coverage; the 3G68 data offer more accurate diurnal phase information. The first and second empirical orthogonal function (EOF) modes represent the diurnal cycle and account for 89 % of the total variance in 3B42. The third and fourth EOF modes, which account for 10 % of the total variance, represent the semidiurnal cycle. Both datasets yield consistent spatial structures and temporal evolution, but they have diffe...
Modeling the geographical distribution of the phase and amplitude of the diurnal change is a challen...
One of the most important modes of summer season precipitation variability over the Indian region,...
Diurnal rainfall variability on Philippine land areas is investigated using the Tropical Rainfall Me...
The Tropical Rainfall Measuring Mission (TRMM) satellite measurements from the precipitation radar a...
Recent progress in satellite remote-sensing techniques for precipitation estimation, along with more...
The fine-scale structure of global (30N-30S) tropical rainfall is characterised using 13 years (1998...
Tropical Rainfall Measuring Mission (TRMM) data during June–August 1998–2003 are used to investi-gat...
The tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Precipitation Radar (PR) d...
The global statistics of the diurnal cycle of warm-season precipitation simulated by NASA's Seasonal...
The Maritime Continent archipelago, situated on the equator at 95°–165°E, has the strongest land-bas...
In this paper, we characterize the climatological diurnal cycles over monsoon land and ocean regions...
A global archive of high-resolution (3-hourly, 0.58 latitude–longitude grid) window (11–12 mm) brigh...
A global archive of high-resolution (3-hourly, 0.58 latitude–longitude grid) window (11–12 mm) brigh...
Forecasts of precipitation and water vapor made by the Met Office global numerical weather predictio...
The Maritime Continent archipelago, situated on the equator at 95-165E, has the strongest land-based...
Modeling the geographical distribution of the phase and amplitude of the diurnal change is a challen...
One of the most important modes of summer season precipitation variability over the Indian region,...
Diurnal rainfall variability on Philippine land areas is investigated using the Tropical Rainfall Me...
The Tropical Rainfall Measuring Mission (TRMM) satellite measurements from the precipitation radar a...
Recent progress in satellite remote-sensing techniques for precipitation estimation, along with more...
The fine-scale structure of global (30N-30S) tropical rainfall is characterised using 13 years (1998...
Tropical Rainfall Measuring Mission (TRMM) data during June–August 1998–2003 are used to investi-gat...
The tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Precipitation Radar (PR) d...
The global statistics of the diurnal cycle of warm-season precipitation simulated by NASA's Seasonal...
The Maritime Continent archipelago, situated on the equator at 95°–165°E, has the strongest land-bas...
In this paper, we characterize the climatological diurnal cycles over monsoon land and ocean regions...
A global archive of high-resolution (3-hourly, 0.58 latitude–longitude grid) window (11–12 mm) brigh...
A global archive of high-resolution (3-hourly, 0.58 latitude–longitude grid) window (11–12 mm) brigh...
Forecasts of precipitation and water vapor made by the Met Office global numerical weather predictio...
The Maritime Continent archipelago, situated on the equator at 95-165E, has the strongest land-based...
Modeling the geographical distribution of the phase and amplitude of the diurnal change is a challen...
One of the most important modes of summer season precipitation variability over the Indian region,...
Diurnal rainfall variability on Philippine land areas is investigated using the Tropical Rainfall Me...