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مباحث عمومی هواشناسی

وضعیت
موضوع بسته شده است.

Dr.ben

کاربر ويژه
خب عکس های برف ماسوله رو که صفحه قبل گذاشتم. توی ماسوله یخوره برف بازی کردیم. اما ما 5شنبه صبح توی رشت هم برف و بارون و رگبار برف داشتیم و من هم یه فیلم کوچولو گرفتم. هم بارونه هم برف:
حجم: 820KB

http://uplod.ir/n87i44vyg7xm/04122013065.3gp.htm

امیدوارم به زودی یه برف درست و حسابی بیاد.
تبریک میگم به تمامی دوستان عزیزی که توی شهر و دیارشون برف بارید و بارش های خوبی داشتن.
به امید روزهای زیباتر :گل:
 

سیبری

کاربر ويژه
همین محسن که می بینید امروز آه و فغان میکرد، احتمالا اینکه بیاد و گزارش بارش برف سنگین رو بده خیلی زیاده چون بارش امروز و امشب در مناطق سردسیر و کوهستانی منطقه ما به شکل برف خواهد بود

:خنده1:

درود
بله !
قوچان دیشب برف بارید و 5 میل هم بارش داشت
خداوند ما بنده های ناسپاس رو بدجوری شرمنده کرد!
 

سیبری

کاربر ويژه
تعجبم از این همه نا امیدی /حداقل در 80 درصد استان خراسان رضوی بارش ها فرا نرمال بوده!!! شاخص ابرناکی در وضعیت بسیار مطلوب. /هنوز تا نیمه آذر جلو امدیم این همه یاس؟ امشب رگبار داریم سه شنبه بارون... به طور متوسط هر 3 یا 4 روز بارشکی داریم. چرا باید نا امید باشیم؟ وضعیت اینقدر که میگین خراب نیستا!! نا شکری نکنید

من ناسپاسی کردم
 

سیبری

کاربر ويژه
سلام بسیار عالی
بهش ثابت بشه نباید زود داوری کنه
امرز از صبح به زمین زمان بدو بیراه گفته و ناله وزاری کرده......انچنان باید برف باید قوچان و سپس انچنان یخ بزنه که حالش جا بیاد:خنده1::خجالت2:

:خنده1:
درود بر محمود عزیز
بله ، برای اومدن برف و سرما خیلی کم طاقت و بی قرارم ! آخه مثل من به برف مثل طفل به پستان مادره!:خنده1:
 

heaven1

مدیر بخش هواشناسی
درود بر دوستان

دمای ناحیه NINO 3.4 با 0.037 درجه کاهش به 0.046- درجه رسید:سوت:
Untitled.jpg
 

سیبری

کاربر ويژه
بزرگان سرمای ایران امروز
هنوز هوا کاملا صاف نیست و ابر و مه در بیشتر مناطق وجود داره وگرنه باید رکوردهای کمتری رو ثبت کنن

هزار کانیان 13-( مطمئنا ارتفاع برفش بیش از نیم متره چون بیش از 50 میل برف خالص در دمای بیشینه 2- در 5شنبه و جمعه داشته)
سقز 10- ( سقز هم ارتفاع برفش نیم متره)
هریس 9-
سراب 8-
زرینه 8-
چالدران7-
ورزقان7-
امین آباد فیروزکوه 7-
 

Amir Mohsen

متخصص بخش هواشناسی
سلام

بنظر نقشه ها دارن بتدریج بر میگردن و شرایط بهتر میشه!

مجددا مدل CFS V2 در آپدیت جدیدش برای ادامه ماه دسامبر خاورمیانه رو سردتر از نرمال نشون میده!

ترکیه 5- درجه از سردتر از نرمال

شمال عراق 2 تا 3 در جه سردتر از نرمال

عربستان و محدوده دریای سرخ 1.5 درجه سردتر از نرمال

نواحی غربی شمال غربی - شمالی- شمال شرق و تا حدودی مرکزی ایران بین 1 تا 3 درجه سردتر از نرمال.

فقط جنوب شرق ایران 1 تا 2 درجه گرمتر از نرمال .

این شرایط در ماه ژانویه با گستره کمتری در نقشه ها دیده میشه!

بنظر فوریه و مارچ بین 0.5 تا 1.5 دما سردتر از نرمال و خصوصا در نیمه شمالی کشور خوهد بود.
 

Amir Mohsen

متخصص بخش هواشناسی
temp9.png
 

Amir Mohsen

متخصص بخش هواشناسی
[h=2]5.1 Modeling studies of low frequency atmospheric variability and climate change [h=3]5.1.1 Atmospheric circulation change and the role of tropical SST warming A significant component of global surface temperature trend since 1950 is linked with planetary scale changes in atmospheric wind and pressure patterns, and our analysis based on atmospheric GCM experiments indicates that the latter have been forced by changes in tropical SSTs. During northern winter, the trend in 500-mb heights since 1950 consists of a uniform tropical and subtropical height increase, and a wavy pattern of stationary wave change in higher latitudes highlighted by lower pressure over the North Pacific and North Atlantic (Fig. 5.2, top). The change in the latter region projects strongly on the North Atlantic Oscillation (NAO) structure of monthly variability. Recent hypotheses for the North Atlantic climate change include a positive feedback resulting from coupling with North Atlantic SSTs, and the possibility that the slow variations are nothing more than sampling artifacts of a random stationary process. Earlier studies of North Pacific climate change have also argued for forcing from the slow variations in extratropical (North Pacific) SSTs (see Fig. 5.1), together with forcing from changes in the tropical Pacific ocean. We have analyzed data from a 12-member ensemble of atmospheric simulations with NCAR's CCM3, using global SST variations since 1950, and these confirm that the observed circulation pattern trends are consistent with global air-sea interactions (Fig. 5.2, middle). The role of tropical SSTs is revealed from another GCM ensemble in which monthly SST variations are prescribed over only the 30N-30S band. That the observed trend is captured by the tropically forced simulations (Fig. 5.2, bottom) alone suggests that the gradual warming of those waters since 1950 is forcing NH climate change. In fact, further analysis suggests that the secular warming within the oceanic warm pool region itself is most relevant for the simulated climate change, particularly over the distant North Atlantic sector.
Fig5_2.gif

[SIZE=-1]Fig. 5.2 The linear trend of the winter season (December to February) 500-mb height field based on observations (top), 12-member CCM3 ensemble forced by global SST variations (middle), and 12-member CCM3 ensemble forced by tropical SST variations over 1950-1999 (bottom). The model results have been multiplied by a factor of 2. Height increases (decreases) are indicated by solid (dashed) contours, and the contour increment is 20 m per 50 years. (Based on results of Hoerling, Hurrell and Xu, 2001, Science).​
Tropical SST warming since 1950 has altered tropical rainfall, the likely immediate cause for the simulated atmospheric circulation changes. The modeled rainfall trend is consistent with that of the underlying SSTs, with increased precipitation throughout the entire equatorial Indo-Pacific region (Fig. 5.3, top). This leads to the question of the origin of the tropical SST change itself (Fig. 5.3, bottom). Analysis of coupled ocean-atmosphere experiments indicate that the warming trend is beyond the range of natural variability. The changes do appear consistent with anomalous greenhouse forcing, however, insofar as the pattern and amplitude of warming during the past half century is similar to that predicted by such models when forced by observed greenhouse gas changes. Our current working hypothesis is that the spatial pattern of NH winter climate change, and the regional change over the North Atlantic/European sector especially, is being forced by a tropical ocean warming, and implicitly reflects an emergent anthropogenic signal.
Fig5_3.gif

[SIZE=-1]Fig. 5.3 The linear trend of the winter season (December to February) total precipitation from the 12-member CCM3 ensemble forced by tropical SST variations (top), and the observed sea surface temperatures (bottom). (Based on results of Hoerling, Hurrell and Xu, 2001, Science). [/SIZE] [h=3]5.1.2 Global warming and atmospheric angular momentum The recent trends in wintertime NH height are strongly annular from the surface to the lower stratosphere. Heights have been increasing in the tropics but decreasing near the poles, and associated with this has been an increase in the atmospheric angular momentum (AAM) (Fig. 5.4). Much of the increase reflects a change in relative angular momentum that is due to a broad westerly wind increase within 30N-30S. We have been seeking an explanation for this change using GCM simulations subjected to various forcings. First, the change of AAM was investigated in a three-member ensemble of coupled ocean-atmosphere model simulations with increasing atmospheric greenhouse gases and sulfate aerosol loading for the period 1900-2100. A highly significant increase in total AAM was found to occur in those runs, with an indication that the forced change emerges above the noise of natural variability by the late 20th Century.
Fig5_4.gif

[SIZE=-1]Fig. 5.4 Time series of global angular momentum from 1950-1999 based on NCEP/NCAR reanalysis (blue), 12-member CCM3 ensemble forced with global SST variations (black), Canadian Centre for Climate Modeling coupled GCM forced by greenhouse gases and aerosols (green). The standard deviation among the CCM3 ensemble members shown in shading. The time series of Niño 3.4 SSTs is shown in red. All curves smoothed with a 5-yr running mean. (Based on results of Huang, Weickmann and Hsu, 2001, J. Climate, in press). [/SIZE] We hypothesize that the AAM is responding to SST changes and accompanying tropical convection, rather than to direct changes in radiative forcing. In the model, the AAM is found to accompany an increase in tropical SST with a sensitivity of ~1 AMU/C (1 AMU = 10[SUP]25[/SUP] kg m[SUP]2[/SUP] s[SUP]-1[/SUP]). A similar sensitivity is found in the observed AAM response to Niño 3.4 SSTs during El Niño. To further examine the role of SST changes only, we analyzed a 12-member ensemble of NCAR CCM3 simulations forced with the history of global SSTs during 1950-99. The simulated AAM from these runs compares well with the time history of the (single realization) observed AAM, and with the observed trend in Niño 3.4 SSTs (see Fig. 5.4). The AAM time series in the greenhouse forced experiment also shows an increasing trend, though it appears to underestimate the observed low frequency variability. All four curves show a trend during 1950-99 of approximately the same magnitude, although the coupled run has the smallest and the observed AAM has the largest trend. The curves cluster together after 1980, while before that time the AMIP ensemble lies between the coupled ensemble and the observed curve. The implication is that the observed AAM trend is partially the result of global warming, through its effect on the tropical heat sources, although natural variability (and NCEP reanalysis errors) probably also contribute. In any case, the anthropogenic forced change through 1999 is as yet modest, especially compared to the AAM change predicted to occur by this model over the next 100 years (~ 4 AMU).
[h=3]5.1.3 Decadal variations in ENSO and its global impact Observations reveal that the global impacts of ENSO vary substantially on decadal time scales. One example is the breakdown in the ENSO-Indian monsoon relationship in the last quarter century. In addition to such changes in tropical teleconnections, ENSO's extratropical impacts have also shown strong decadal variations. For example, ENSO has explained a much higher fraction of the seasonal atmospheric variability in the PNA-sector since 1977 compared to the prior quarter century. The February-April seasonal correlation of 500-mb heights with a SST index of ENSO has roughly doubled during 1977-99 compared to 1948-76 (Fig. 5.5). The correlation, averaged across the southern US between 120W-70W, increases from roughly -0.2 to -0.6 in the recent period, and points to a substantial increase in the late-winter potential predictability.
Fig5_5.gif

[SIZE=-1]Fig. 5.5 Correlation pattern of seasonally averaged February-April 500 hPa geopotential height with the ENSO index of the middle panel of Fig. 5.1 calculated for two sub-periods: 1948-1976 (left panel), and 1977-1999 (right panel). Results are shown for the Northern Hemisphere for the area extending north of 20 degrees latitude. (Based on results of Diaz, Hoerling and Eischeid, 2001, Int. J. Climat., in press). [/SIZE] One might suppose that this change in predictability is due to the stronger ENSO forcing as measured by the increased interannual variance of tropical Pacific SSTs since 1977 (see Fig. 5.1). Yet, this increase is only about 20 percent, and it is not reconcilable with the much greater fractional increase in variance of the remote ENSO signal. Recent changes in the life cycle of tropical Pacific SST anomalies during warm events may be a key factor. The so-called canonical warm event evolution prior to 1977, using the cases of Rasmusson and Carpenter, had peak warming in December, followed by rapid decay (Fig. 5.6, left panel contours). We have calculated the difference in SST lifecycles between the post-1977 and pre-1977 warm events (Fig. 5.6, left panel shading), and found that recent cases prolong their warming into spring of year+1, and also defer South American coastal warming until spring of year (+1). This change is relevant for the teleconnections because the recent warm events peak closer to the peak in climatological warming of the east equatorial Pacific ocean, so that the total SST is actually now maximized in spring of year+1 rather than in early winter. Using output from AMIP-style simulations spanning 1950-99, we have found a large increase in rainfall for the post-1977 events relative to the pre-1977 events (Fig. 5.6, right panel contours) that corresponds closely with the change in SSTs. The change in composite rainfall represents a doubling relative to the pre-1977 cases, suggesting that the recent teleconnection strength is at least qualitatively consistent with a secular change in tropical forcing, though other factors may also be involved.
Fig5_6.gif

[SIZE=-1]Fig. 5.6 Hovmuller diagrams illustrating the change in the composite life cycle of SST and rainfall anomalies along the equatorial Pacific during 1948-1999. In the left panel, contours illustrate the composite El Niño SST anomaly based on pre-1976 events, whereas the shading illustrates the difference in El Niño SST composites for events occurring after versus before 1976. In the right side panel, the contours illustrate the change in El Niño rainfall anomaly composites for events occurring after versus before 1976, as derived from climate simulations. The shading repeats the SST change of the left panel. (Based on results of Diaz, Hoerling and Eischeid, 2001, Int. J. Climat., in press). [/SIZE]​
[/SIZE]
 

heaven1

مدیر بخش هواشناسی
نقشه هاي جي اف اس تا 192 ساعت آينده تغييرات زيادي پيدا مي كنند و به اميد خدا ريزش هواي سرد به همراه بارش عالي در شمال شرق خواهيم داشت!
 

Amir Mohsen

متخصص بخش هواشناسی
Radiation Inversions
Radiation%20inversion.gif
Radiation inversions are the most common type of inversion. In some places, they occur almost nightly.

Radiation inversions generally happen in places where it cools off a lot at night.
During the night, the ground cools off, radiating the heat to the sky. Hence, an inversion


inversionlayer.jpg
It is because of radiation inversions that there is often fog in the morning.
The radiation inversion traps the moisture (clouds) under the inversion layer resulting in for or smog, depending where you live.
These clouds will lift either when a wind comes through and blows them away, or when the sun heats the inversion layer, allowing the clouds to disperse.
 
وضعیت
موضوع بسته شده است.
بالا