Shaktichakra, the wheel of energies

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Posts Tagged ‘map

North India 2014, much dust, more heat, late rain

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The sweltering of North India, aggravated by manic urbanisation, just as manic use of personal automobiles, the steady thinning of tree canopies, and small businesses forced to buy diesel generators – in the tens of thousands, each emitting hot fumes that further trap already heated layers of sooty air – is an annual pre-monsoon epic that no-one has the energy to write.

This panel of four maps shows us where India baked during the last week of 2014 May (and now, Delhi has experienced a record its residents did not want). The high temperature belts (top left map), 40-45 Celsius, covered most of central and north-western India (Maharashtra, Madhya Pradesh, Gujarat, Rajasthan, Gangetic Uttar Pradesh, Haryana, Punjab and Delhi). Minimum temperatures (top right), 20-15 Celsius, are seen in two pockets – south interior Karnataka and in the North-East over Manipur and Mizoram.

These temperature maps may be read with the rainfall for the same period, 2014 May 25-31, to correlate particularly the temperature anomalies (how much higher or lower the normal maxima and minima have departed) with where it has rained. The rainfall map (lower left) shows rain having fallen over south Karnataka, but also north West Bengal and eastern Bihar, coastal Odisha and southern Haryana. These appear to relate to a group of anomalies (lower right): the first being interior Tamil Nadu, north-eastern Karnataka and adjacent Andhra Pradesh; the second being eastern Uttar Pradesh and adjacent Bihar. [You can get the four maps in this zip file.]

Read these from top left - 21, 22 and 23 June. Lower row - 24, 25 and 26 June. The green shading is the rain-bearing cloud cover. After 20 June the peninsula will have rain in most meteorological zone but North and north-west India will still await the monsoon system.

Read these from top left – 21, 22 and 23 June. Lower row – 24, 25 and 26 June. The green shading is the rain-bearing cloud cover. After 20 June the peninsula will have rain in most meteorological zone but North and north-west India will still await the monsoon system.

What these don’t show, but which the longer range forecast Indian Institute of Tropical Meteorology (Pune, Maharashtra) has on record, is that monsoon 2014 will not touch northern India until the fourth week of June. Rain-bearing cloud and wind systems will cover, in this forecast, peninsular India by around the 16th or 17th of June, but it will be another week before they deliver some relief to the cemented and asphalted surfaces of the National Capital Territory and its parched surroundings.

These very helpful maps are used by the Pune-based met researchers as part of their monsoon monitoring and forecasting partnership with several international climatoloigcal research institutes, chief amongst them the National Oceanic and Atmospheric Administration (NOAA) of the USA through its Climate Prediction Centre.

The Tropmet – as the Pune group is usually called – has bequeathed to us a definition (perhaps for this season only, subject to revision when climate change asserts itself) of monsoon rain that is in part scientific and in part geographic, which I think is a good sign (the Indian Meteorological Department will disagree, but we know better). The faster Tropmet decides to communicate in language appreciated, and understood, by Bharatiya citizens, the more said citizens will find an interest in correcting the misconceptions of scientists.

Tropmet says: “Rainfall within the summer monsoon season is mainly punctuated by the northward propagating monsoon intraseasonal oscillations (MISOs) with timescales of 30-60 days that manifests as spells of heavy rainfall and periods of quiescent rainfall, instead of a continuous deluge.” In the Konkan, we like our continuous deluge and the old-timers would have sixteen names for different sorts of deluge (and an equally rich chest of monsoon nouns for other sorts of rain).

Light fractals of urban Punjab

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In this map, created from night-time lights of cities recorded by satellites, Lahore and Delhi and the surrounding Punjab form continuous urban corridors, or agglomerations. The densely coloured nodes represent 67 cities (in 2010) with populations above the 100,000 threshold (see Map: Center for International Earth Science Information Network (CIESIN)

In this map, created from night-time lights of cities recorded by satellites, Lahore and Delhi and the surrounding Punjab form continuous urban corridors, or agglomerations. The densely coloured nodes represent 67 cities (in 2010) with populations above the 100,000 threshold (see Map: Center for International Earth Science Information Network (CIESIN)

About 470 kilometres along the Grand Trunk Road from Lahore (a large urban mass with an orange core in this map), first through Amritsar, then Jalandhar and Ludhiana, then past Patiala and Panipat, and on to New Delhi – an even greater orange core, engorged with its status as a national capital territory, feasting on uncountable megawatts of crackling electricity.

During the days of the undivided Punjab, both Lahore and Delhi were divisions of the province, the other three being Multan, Jalandhar (usually spelled ‘Jullundur’) and Rawalpindi (usually called ‘Pindi’, a name that eased the toils of newspaper sub-editors in the 1960s, when Pindi was Pakistan’s capital).

Urbanisation in Punjab compared between 1999 and 2010, the CIESIN map based on night-time lights recorded by satellite.

Urbanisation in Punjab compared between 1999 and 2010, the CIESIN map based on night-time lights recorded by satellite.

The burst of urban light due east of Lahore (it would be about 125 kilometres away) is the city of Faislabad. As with the chain of light that erupts into settlements along the Grand Trunk Road from Lahore to Delhi, Faislabad makes a great vibrant punctuation on the urban light map of historical Punjab, a solar flare jetting out from the cultural orb of old Lahore. Perhaps the chain marks the hasty passage of ‘halwa‘ and ‘adh ridka‘ (the Lahori ‘lassi‘) between one and the other.

South-westerly from Lahore another chain of urbanising sparklers marks the road to Multan, and the beginnings of a lattice – clearly discernible from the built-up nodes that are Ludhiana and Ambala – that connects hamlets and would-be highways into an evolving fractal shape is visible.

At times the dizzying fractal appears to be caught in swift metamorphosis, coloured an uncertain blue that Amritsar is awash in, but so are Ludhiana and Shimla (where Delhi’s acquisitive gentry spend week-ends), for here new neighbourhood wards spring up unplanned and unmarked but for the glare of new lights, so well captured in this cartographic curiosity.

An Indian cereals quartet from 1969

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A cereals quartet mapped in great detail from 1969 – ragi in the old Mysore state (top left), barley in eastern Uttar Pradesh (top right), bajra in Maharashtra (bottom left), and jowar in Madhya Pradesh (bottom right).

I have taken the details from the lovely set of maps in the Indian Agricultural Atlas (the third edition) of 1969, which was printed at the time by the Survey of India (which provided the base maps). It cost, in those days, 90 rupees which was a small fortune, but little wonder, for the mapwork is superior.


Written by makanaka

August 4, 2013 at 15:29

Climate change in the USA and the new plant growers’ map

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The US government’s map of planting zones, usually seen on the back of seed packets, has changed. An update of the official guide for gardeners reflects a new reality, that of climate change and shifting meteorological zones. Some plants and trees that once seemed too vulnerable to cold can now survive farther north than they used to.

As this report on Yahoo News pointed out, it’s the first time since 1990 that the US Department of Agriculture (USDA) has updated the map and much has changed. Nearly entire states, such as Ohio, Nebraska and Texas, are in warmer zones. The new guide, unveiled this week, also uses better weather data and offers more interactive technology. For the first time it takes into factors such as how cities are hotter than suburbs and rural areas, nearby large bodies of water, prevailing winds, and the slope of land.

The 2012 USDA Plant Hardiness Zone Map is the standard by which gardeners and growers can determine which plants are most likely to thrive at a location. The map is based on the average annual minimum winter temperature, divided into 10-degree F zones. For the first time, the map is available as an interactive GIS-based map, for which a broadband Internet connection is recommended, and as static images for those with slower Internet access. Users may also simply type in a ZIP Code and find the hardiness zone for that area.

The 26 zones, however, are based on five degree increments. In the old 1990 map, the USDA mentions 34 different US cities on its key. Eighteen of those, including Honolulu, St. Louis, Des Moines, St. Paul and Fairbanks, are in newer warmer zones. Agriculture officials said they didn’t examine the map to see how much of the map has changed for the hotter. However, the Yahoo News report said Mark Kaplan, the New York meteorologist who co-created the 1990 map and a 2003 update that the USDA didn’t use, said the latest version clearly shows warmer zones migrating north. [See the USDA Plant Hardiness Zone Map here, with zip code form, interactive mapping and downloads.]

Hardiness zones are based on the average annual extreme minimum temperature during a 30-year period in the past, not the lowest temperature that has ever occurred in the past or might occur in the future.

The USDA has said gardeners should keep that in mind when selecting plants, especially if they choose to “push” their hardiness zone by growing plants not rated for their zone. In addition, although this edition of the USDA PHZM is drawn in the most detailed scale to date, there might still be microclimates that are too small to show up on the map.

Microclimates, which are fine-scale climate variations, can be small heat islands – such as those caused by blacktop and concrete – or cool spots caused by small hills and valleys. Individual gardens also may have very localised microclimates (your entire yard could be somewhat warmer or cooler than the surrounding area, the USDA explained, because it is sheltered or exposed).

The 1990 map was based on temperatures from 1974 to 1986; the new map from 1976 to 2005. The nation’s average temperature from 1976 to 2005 was two-thirds of a degree warmer than for the old time period, according to statistics at the National Climatic Data Center. So far, according to the reports on the new zones map, the USDA is not actively associating its map with the effects of climate change on the USA.

Many species of plants gradually acquire cold hardiness in the fall when they experience shorter days and cooler temperatures. This hardiness is normally lost gradually in late winter as temperatures warm and days become longer. A bout of extremely cold weather early in the fall may injure plants even though the temperatures may not reach the average lowest temperature for your zone. Similarly, exceptionally warm weather in midwinter followed by a sharp change to seasonably cold weather may cause injury to plants as well. Such factors are not taken into account in the USDA PHZM.

David W. Wolfe, professor of plant and soil ecology in Cornell University’s Department of Horticulture said the USDA is being too cautious and has disagreed about the Agency ignoring the climate change connection. “At a time when the ‘normal’ climate has become a moving target, this revision of the hardiness zone map gives us a clear picture of the ‘new normal,’ and will be an essential tool for gardeners, farmers, and natural resource managers as they begin to cope with rapid climate change,” Wolfe has said.

Still, the USDA has emphasised that all PHZMs are guides. They are based on the average lowest temperatures, not the lowest ever. Growing plants at the extreme of the coldest zone where they are adapted means that they could experience a year with a rare, extreme cold snap that lasts just a day or two, and plants that have thrived happily for several years could be lost. Gardeners need to keep that in mind and understand that past weather records cannot be a guarantee for future variation in weather.

India’s troubled 2011 monsoon continues

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India regional rainfall, monsoon 2011, from 01 June to 20 July 2011, week and total

The India Meteorological Department, Ministry of Earth Sciences, has issued a new forecast for the 2011 south-west monsoon and the overall number does not at all look like what the country needs. The IMD has said that by the end of the second half of the 2011 monsoon, it expects the national average to be 90% or thereabouts of the long period average (called LPA by the Met).

India’s central government has only recently announced the foodgrain estimates for the year, at a record 241 million tons. The question now is, what will this lower prognosis mean at district level, and for those districts which supply the country its cereals, vegetables and commercial crops. We’ll have to wait and watch for more indicators. The main paragraphs of the IMD statement follow, and I have put together picture panels based on the rainfall maps issued by the IMD every week. These show the regional variations of rainfall and how they have moved over time.

The IMD statement is titled “Long Range Forecast Outlook for the Rainfall During the Second Half (August–September) of 2011 Southwest Monsoon” and says:

“Summary of the Forecast outlook for the Rainfall During the Second Half of the 2011 Southwest Monsoon Rainfall – Rainfall over the country as a whole for the second half (August to September) of the 2011 southwest monsoon season is likely to be below normal (86 to 94% of long period average (LPA)). Quantitatively, rainfall for the country as a whole during the period August to September, 2011 is likely to be 90% of LPA with a model error of ±8%.”

“The outlook for the 2011 Southwest Monsoon Season Rainfall is that the monsoon season (June to September) rainfall for the country as a whole is likely to be below normal (90-96% of LPA) as forecasted by IMD in June. The season (June to September) rainfall over the 3 geographical regions (Northwest India, Central India and South Peninsula) is also likely to be within the limits of forecasts (i.e.97% of LPA, 95% of LPA and 94% of LPA respectively all with model errors of ±8% of LPA) issued by IMD in June. However, the season rainfall over Northeast India is likely to be less than the lower limit of the IMD forecast (95 ±8% of LPA) issued in June.”

[See my earlier post on the IMD updated forecast.]

This year, the IMD’s first stage forecast was issued on 19 April 2011 and its second stage forecast was issued on 21 June 2011. For climatoligists, the IMD has also said that there are ‘ENSO Neutral conditions over Equatorial Pacific’ after the dissipation of the moderate to strong La Nina event around mid-May 2011. “The latest forecasts from a majority of the dynamical and statistical models indicate high probability (about 80%) for the present ENSO-neutral conditions to continue during the remaining part of the 2011 southwest monsoon season. However, the probability for re-emergence of La Nina or that for development of El Nino (10% each) is relatively less.”

India regional rainfall, monsoon 2011, from 01 June to 27 July 2011, week and total

India regional rainfall, monsoon 2011, from 01 June to 13 July 2011, week and total

India regional rainfall, monsoon 2011, from 01 June to 06 July 2011, week and total

India regional rainfall, monsoon 2011, from 01 June to 29 June 2011, week and total

India regional rainfall, monsoon 2011, from 01 June to 15 June 2011, week and total

Written by makanaka

August 10, 2011 at 18:54

Visualising livestock geography

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One of the major limitations in livestock sector planning, policy development and analysis is the paucity of reliable and accessible information on the distribution, abundance and use of livestock. With the objective of redressing this shortfall, the Animal Production and Health Division of FAO has developed a global livestock information system (GLIS) in which geo-referenced data on livestock numbers and production are collated and standardized, and made available to the general public through the FAO website.

Where gaps exist in the available data, or the level of spatial detail is insufficient, livestock numbers are predicted from empirical relationships between livestock densities and environmental, demographic and climatic variables in similar agro-ecological zones.

[Reference: FAO. 2007. Gridded livestock of the world 2007, by G.R.W. Wint and T.P. Robinson. Rome, pp 131, Environmental Research Group, Oxford, and FAO Animal Production and Health Division]

The spatial nature of these livestock data facilitates analyses that include: estimating livestock production; mapping disease risk and estimating the impact of disease on livestock production; estimating environmental risks associated with livestock due, for example, to land degradation or nutrient loading; and exploring the complex interrelationships between people, livestock and the environment in which they cohabit.

It is through quantitative analyses such as these that the impact of technical interventions can be estimated and assessed. Also, by incorporating these data into appropriate models and decision-making tools, it is possible to evaluate the impact of livestock-sector development policies, so that informed recommendations for policy adjustments can be made.

The components of the information system thus created include: a global network of providers of data on livestock and subnational boundaries; an Oracle database in which these data are stored, managed and processed; and a system for predicting livestock distributions based on environmental and other data, resulting in the Gridded Livestock of the World (GLW) initiative: modelled distributions of the major livestock species (cattle, buffalo, sheep, goats, pigs and poultry) have now been produced, at a spatial resolution of three minutes of arc (approximately 5 km). These data are freely available through the GLW website1, through an interactive web application known as the Global Livestock Production and Health Atlas (GLiPHA)2, and through the FAO GeoNetwork data repository.

As well as detailing various components of the GLIS, this publication explains how livestock distributions were determined, and presents a series of regional and global maps showing where the major ruminant and monogastric species are concentrated. Spatial livestock data can be used in a multitude of ways. Various examples are given of how these and other datasets can be combined and utilized in a number of applications, including estimates of livestock biomass, carrying capacity, population projections, production and offtake, production-consumption balances, environmental impact and disease risk in the rapidly expanding field of livestock geography.

Informed livestock-sector policy development and planning requires reliable and accessible information about the distribution and abundance of livestock. To that end, and in collaboration with the Environmental Research Group Oxford (ERGO), FAO has developed the “Gridded livestock of the world” spatial database: the first standardized global, subnational resolution maps of the major agricultural livestock species. These livestock data are now freely available for downloading via this FAO page.