A daily gridded precipitation dataset for 1961 2004 was created by collecting rain gauge observation data across Asia through the activities of the Asian PrecipitationHighly Resolved Observational Data Integration Towards the Evaluation of Water Resources (APHRODITE) project. Our number of valid stations was between 5000 and 12,000, representing 2.3 to 4.5 times the data available through the Global Telecommunication System network, which were used for most daily grid precipitation products. APHRODITE's daily gridded precipitation (APHRO_V0902) is the only long-term (1961 onward) continental-scale daily product that contains a dense network of daily rain gauge data for Asia including the Himalayas and mountainous areas in the Middle East. The product contributes to studies such as the evaluation of Asian water resources, diagnosis of climate change, statistical downscaling, and verification of numerical model simulation and high-resolution precipitation estimates using satellites. We released APHRO_ V0902 datasets for Monsoon Asia, Russia and the Middle East (on 0.5°× 0.5°and 0.25°× 0.25°grids) at http://www. chikyu.ac.jp/precip/. Herein, we show the algorithm and input data of APHRO_V0902.

Abstract. To evaluate satellite rainfall estimates of Tropical Rain Measurement Mission (TRMM) level 3 output (3B42) (TRMM_3B42) over Iran (20°–45° N, 40°–65° E), we compared these data with high-resolution gridded precipitation datasets (0.25°×0.25° latitude/longitude) based on rain gauges (Iran Synoptic gauges Version 0902 (IS0902)). Spatial distribution of mean annual and mean seasonal rainfall in both IS0902 and TRMM_3B42 from 1998 to 2006 shows two main rainfall patterns along the Caspian Sea and over the Zagros Mountains. Scatter plots of annual average rainfall from IS0902 versus TRMM_3B42 for each 0.25°×0.25° grid cell over the entire country (25°–40° N, 45°–60° E), along the Caspian Sea (35°–40° N, 48°–56° E), and over the Zagros Mountains (28°–37° N, 46°–55° E) were derived. For the entire country, the Caspian Sea region, and the Zagros Mountains, TRMM_3B42 underestimates mean annual precipitation by 0.17, 0.39, and 0.15 mm day−1, respectively, and the mean annual rainfall spatial correlation coefficients are 0.77, 0.57, and 0.75, respectively. The mean annual precipitation temporal correlation coefficient for IS0902 and TRMM_3B42 is ~0.8 in the area along the Zagros Mountains, and ~0.6 in the Caspian Sea and desert regions.

In this study operational rawinsonde data are used to investigate climatological features of seasonal variations in static stability in order to understand the behavior of temperature inversion layers, that is, extremely stable layers in the lower troposphere over the Indochina Peninsula region, at the southeastern edge of the Asian continent. Static stability was evaluated from the vertical gradient in potential temperature (Δθ/Δz). Stable (Δθ/Δz > 10 K km−1) and unstable (Δθ/Δz < 1 K km−1) layers frequently appear over the Indochina Peninsula region during boreal winter. Temporal and vertical variations in stability during the boreal winter can be categorized into three characteristic types, type I: the mean height of stable layers increases from 2 to 5 km from the dry to the rainy season over inland areas of the Indochina Peninsula and southern China; type II: similar to type I, with the additional occurrence of stable layers at a height of ∼1 km, mainly over coastal areas of the Indochina Peninsula; and type III: stable layers at a height of ∼2 km, mainly over the Malay Peninsula. We did not find any significant seasonal change in the vertical distribution of stable layers over the Malay Peninsula.

No abstract

Abstract. To assess the skill of seasonal to inter-annual predictions of the detrended sea ice extent in the Arctic Ocean (SIE AO ) and to clarify the underlying physical processes,